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On some significance tests in cluster analysis

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-69024-2_26openalex-snapshot
Significance Tests for Clusters: Overview and Comments
inferredcites →https://doi.org/10.1007/bf00535033openalex-snapshot
Die asymptotische Verteilung von Koinzidenzen
inferredcites →https://doi.org/10.1007/bf01029298openalex-snapshot
The sampling distribution of theW statistic of disjunction for the arbitrary division of a random rectangular distribution
inferredcites →https://doi.org/10.1007/bf02312508openalex-snapshot
A method for testing the distinctness of clusters: A test of the disjunction of two clusters in Euclidean space as measured by their overlap
inferredcites →https://doi.org/10.1007/bf02614243openalex-snapshot
Statistische Modelle und Bayessche Verfahren zur Bestimmung einer unbekannten Klassifikation normalverteilter zufälliger Vektoren
inferredcites →https://doi.org/10.1016/0031-3203(79)90034-7openalex-snapshot
Validity studies in clustering methodologies
inferredcites →https://doi.org/10.1016/0047-259x(75)90040-8openalex-snapshot
On the unimodality of spherically symmetric stable distribution functions
inferredcites →https://doi.org/10.1016/0098-3004(79)90001-3openalex-snapshot
Basic program for a significance test for two clusters in euclidean space as measured by their overlap
inferredcites →https://doi.org/10.1016/b978-0-12-714250-0.50007-3openalex-snapshot
Distribution Problems in Clustering
inferredcites →https://doi.org/10.1017/s0001867800042932openalex-snapshot
Limit theorems for dissociated random variables
inferredcites →https://doi.org/10.1080/01621459.1957.10501411openalex-snapshot
Note on Grouping
inferredcites →https://doi.org/10.1080/01621459.1969.10501084openalex-snapshot
Percentage Points of a Test for Clusters
inferredcites →https://doi.org/10.1080/01621459.1974.10480190openalex-snapshot
Probabilities for the Size of Largest Clusters and Smallest Intervals
inferredcites →https://doi.org/10.1080/01621459.1979.10481675openalex-snapshot
Multivariate Tests for Clusters
inferredcites →https://doi.org/10.1093/biomet/65.1.31openalex-snapshot
Bayesian Cluster Analysis
inferredcites →https://doi.org/10.1093/biomet/65.2.273openalex-snapshot
Asymptotic Behaviour of Classification Maximum Likelihood Estimates
inferredcites →https://doi.org/10.1109/tit.1982.1056471openalex-snapshot
Multiple local optima in vector quantizers (Corresp.)
inferredcites →https://doi.org/10.1109/tit.1982.1056480openalex-snapshot
Sufficient conditions for uniqueness of a locally optimal quantizer for a class of convex error weighting functions
inferredcites →https://doi.org/10.1109/tit.1983.1056622openalex-snapshot
Uniqueness of locally optimal quantizer for log-concave density and convex error weighting function
inferredcites →https://doi.org/10.1137/0108017openalex-snapshot
A Test of Fit Based on the Largest Sample Spacing
inferredcites →https://doi.org/10.1177/19.7.426openalex-snapshot
SUBPOPULATIONS OF BLOOD LYMPHOCYTES DEMONSTRATED BY QUANTITATIVE CYTOCHEMISTRY
inferredcites →https://doi.org/10.1207/s15327906mbr0503_6openalex-snapshot
PATTERN CLUSTERING BY MULTIVARIATE MIXTURE ANALYSIS
inferredcites →https://doi.org/10.1214/aoms/1177728487openalex-snapshot
Ordered Families of Distributions
inferredcites →https://doi.org/10.1214/aop/1176993668openalex-snapshot
Sums of Functions of Nearest Neighbor Distances, Moment Bounds, Limit Theorems and a Goodness of Fit Test
inferredcites →https://doi.org/10.1214/aop/1176993713openalex-snapshot
A Central Limit Theorem for $k$-Means Clustering
inferredcites →https://doi.org/10.1214/aop/1176997037openalex-snapshot
Probabilities for a $k$th Nearest Neighbor Problem on the Line
inferredcites →https://doi.org/10.1214/aos/1176344071openalex-snapshot
Asymptotic Distributions for Clustering Criteria
inferredcites →https://doi.org/10.1214/aos/1176344789openalex-snapshot
On the Asymptotic Distribution of $k$-Spacings with Applications to Goodness-of-Fit Tests
inferredcites →https://doi.org/10.1214/aos/1176345339openalex-snapshot
Strong Consistency of $K$-Means Clustering
inferredcites →https://doi.org/10.1214/aos/1176346051openalex-snapshot
Goodness of Fit Testing in $\mathbb{R}^m$ Based on the Weighted Empirical Distribution of Certain Nearest Neighbor Statistics
inferredcites →https://doi.org/10.1214/aos/1176346052openalex-snapshot
An Infinite-Dimensional Approximation for Nearest Neighbor Goodness of Fit Tests
inferredcites →https://doi.org/10.2307/1402912openalex-snapshot
Automatische Klassifikation. Theoretische und praktische Methoden zur Gruppierung und Strukturierung von Daten (Cluster-Analyse)
inferredcites →https://doi.org/10.2307/2286880openalex-snapshot
Clustering Algorithms.
inferredcites →https://doi.org/10.2307/2288451openalex-snapshot
Cluster-Formation und Analyse.
inferredcites →https://doi.org/10.2307/2982149openalex-snapshot
Introduction to the Theory of Nonparametric Statistics.
inferredcites →https://doi.org/10.2307/2982375openalex-snapshot
Contributions to Order Statistics.
inferredcites →https://doi.org/10.2307/2987867openalex-snapshot
A Familiar Statistic in an Unfamiliar Guise-A Problem in Clustering
inferredcites →https://doi.org/10.2307/3213486openalex-snapshot
The limit distribution for maxima of ‘weighted' rth-nearest-neighbour distances

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9780470977811.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/9781119394228.ch3openalex-snapshot
Advanced Geophysical and Petrophysical Methodologies
inferred← citeshttps://doi.org/10.1002/9781119952954.refsopenalex-snapshot
References
inferred← citeshttps://doi.org/10.1002/jsfa.3215openalex-snapshot
Unsupervised classification methods in food sciences: discussion and outlook
inferred← citeshttps://doi.org/10.1002/sam.11379openalex-snapshot
The next‐generation K‐means algorithm
inferred← citeshttps://doi.org/10.1007/11893028_96openalex-snapshot
A Competitive Co-evolving Support Vector Clustering
inferred← citeshttps://doi.org/10.1007/3-540-28397-8_19openalex-snapshot
The Number of Clusters in Market Segmentation
inferred← citeshttps://doi.org/10.1007/978-0-387-69319-4_19openalex-snapshot
Clustering Proteomics Data Using Bayesian Principal Component Analysis
inferred← citeshttps://doi.org/10.1007/978-1-4612-1288-1_3openalex-snapshot
Cluster Analysis
inferred← citeshttps://doi.org/10.1007/978-1-4613-9290-3_11openalex-snapshot
Assessment of Subclustering in Clusters of Galaxies
inferred← citeshttps://doi.org/10.1007/978-3-031-21391-5_7openalex-snapshot
OTU Methods in Numerical Taxonomy
inferred← citeshttps://doi.org/10.1007/978-3-540-45219-5_13openalex-snapshot
Validation Techniques in Text Mining (with Application to the Processing of Open-ended Questions)
inferred← citeshttps://doi.org/10.1007/978-3-540-68860-0_14openalex-snapshot
VCV2 – Visual Cluster Validity
inferred← citeshttps://doi.org/10.1007/978-3-540-73560-1_15openalex-snapshot
Clustering Methods: A History of k-Means Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-642-33757-4_20openalex-snapshot
Stability-Based Model Selection for High Throughput Genomic Data: An Algorithmic Paradigm
inferred← citeshttps://doi.org/10.1007/978-3-642-48417-9_96openalex-snapshot
Improvement of Stability in Cluster Analysis and Principal Components Analysis by Special Weighting the Variables
inferred← citeshttps://doi.org/10.1007/978-3-642-50974-2_3openalex-snapshot
A k n -Nearest Neighbour Algorithm for Unimodal Clusters
inferred← citeshttps://doi.org/10.1007/978-3-642-51175-2_1openalex-snapshot
Classification and Clustering: Problems for the Future
inferred← citeshttps://doi.org/10.1007/978-3-642-51175-2_20openalex-snapshot
An examination of procedures for determining the number of clusters in a data set
inferred← citeshttps://doi.org/10.1007/978-3-642-51175-2_21openalex-snapshot
The gap test: an optimal method for determining the number of natural classes in cluster analysis
inferred← citeshttps://doi.org/10.1007/978-3-642-57280-7_2openalex-snapshot
Regression-Type Models for Kohonen’s Self-Organizing Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-57991-2_29openalex-snapshot
Clustering Algorithms and Cluster Validation
inferred← citeshttps://doi.org/10.1007/978-3-642-60187-3_4openalex-snapshot
Clustering and Neural Network Approaches
inferred← citeshttps://doi.org/10.1007/978-3-642-72253-0_37openalex-snapshot
Clustering and Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-75040-3_2openalex-snapshot
Probabilistic Aspects in Cluster Analysis
inferred← citeshttps://doi.org/10.1007/978-3-642-76307-6_7openalex-snapshot
Multigraphs for the Uncovering and Testing of Structures
inferred← citeshttps://doi.org/10.1007/978-3-642-79999-0_22openalex-snapshot
On the Longest Edge of the Minimal Spanning Tree
inferred← citeshttps://doi.org/10.1007/978-3-642-79999-0_3openalex-snapshot
Null Models in Cluster Validation
inferred← citeshttps://doi.org/10.1007/978-3-642-80098-6_7openalex-snapshot
Probability Distributions on Indexed Dendrograms and Related Problems of Classifiability
inferred← citeshttps://doi.org/10.1007/978-3-662-12433-8_4openalex-snapshot
Clustering and Self-Organizing Networks: Regression-Type Models and Optimization Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-7091-2668-4_5openalex-snapshot
Simultaneous Visualization and Clustering Methods as an Alternative to Kohonen Maps
inferred← citeshttps://doi.org/10.1007/978-4-431-65950-1_1openalex-snapshot
Probabilistic Aspects in Classification
inferred← citeshttps://doi.org/10.1007/978-4-431-65950-1_2openalex-snapshot
Cluster Validation
inferred← citeshttps://doi.org/10.1007/978-94-011-0800-3_4openalex-snapshot
Information and Entropy in Cluster Analysis
inferred← citeshttps://doi.org/10.1007/978-94-011-3198-8_5openalex-snapshot
Interpretation of Hierarchical Clustering
inferred← citeshttps://doi.org/10.1007/978-94-011-3418-7_14openalex-snapshot
Knowing When to Stop: Cluster Concept — Concept Cluster
inferred← citeshttps://doi.org/10.1007/978-981-99-2240-6_10openalex-snapshot
On Likelihood Ratio Tests for Dimensionality Selection
inferred← citeshttps://doi.org/10.1007/bf00436033openalex-snapshot
Simultaneous multidimensional unfolding and cluster analysis: An investigation of strategic groups
inferred← citeshttps://doi.org/10.1007/bf01246098openalex-snapshot
An entropy criterion for assessing the number of clusters in a mixture model
inferred← citeshttps://doi.org/10.1007/bf02616246openalex-snapshot
Large-sample results for optimization-based clustering methods
inferred← citeshttps://doi.org/10.1007/s00357-010-9069-1openalex-snapshot
MCS: A Method for Finding the Number of Clusters
inferred← citeshttps://doi.org/10.1007/s10032-009-0089-5openalex-snapshot
An effective coherence measure to determine topical consistency in user-generated content
inferred← citeshttps://doi.org/10.1007/s10257-015-0299-yopenalex-snapshot
Understanding Internet service switching behaviour based on the stage model
inferred← citeshttps://doi.org/10.1007/s10722-009-9448-9openalex-snapshot
Structure of wild annual sunflower (Helianthus annuus L.) accessions based on agro-morphological traits
inferred← citeshttps://doi.org/10.1007/s10851-006-9176-0openalex-snapshot
A Unified Framework for Detecting Groups and Application to Shape Recognition
inferred← citeshttps://doi.org/10.1007/s10928-005-0040-4openalex-snapshot
Cluster Analysis: An Alternative Method for Covariate Selection in population Pharmacokinetic Modeling
inferred← citeshttps://doi.org/10.1007/s11030-006-9023-7openalex-snapshot
V-cluster algorithm: A new algorithm for clustering molecules based upon numeric data
inferred← citeshttps://doi.org/10.1007/s11634-009-0044-9openalex-snapshot
Trimming algorithms for clustering contaminated grouped data and their robustness
inferred← citeshttps://doi.org/10.1007/s11634-009-0047-6openalex-snapshot
Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables
inferred← citeshttps://doi.org/10.1007/s11634-016-0278-2openalex-snapshot
Probabilistic clustering via Pareto solutions and significance tests
inferred← citeshttps://doi.org/10.1016/0031-3203(87)90034-3openalex-snapshot
How many clusters are best? - An experiment
inferred← citeshttps://doi.org/10.1016/0031-3203(87)90081-1openalex-snapshot
Bootstrap technique in cluster analysis
inferred← citeshttps://doi.org/10.1016/0140-9883(94)90035-3openalex-snapshot
Lifecycle analysis of gasoline expenditure patterns
inferred← citeshttps://doi.org/10.1016/0167-7152(90)90018-3openalex-snapshot
Some peculiar boundary phenomena for extremes of rth nearest neighbor links
inferred← citeshttps://doi.org/10.1016/0167-9473(94)90085-xopenalex-snapshot
Identifying genuine clusters in a classification
inferred← citeshttps://doi.org/10.1016/0167-9473(96)88919-5openalex-snapshot
Probabilistic models in cluster analysis
inferred← citeshttps://doi.org/10.1016/b978-0-12-809633-8.20385-3openalex-snapshot
Computation Cluster Validation in the Big Data Era
inferred← citeshttps://doi.org/10.1016/b978-0-12-811216-8.10000-xopenalex-snapshot
References
inferred← citeshttps://doi.org/10.1016/b978-0-323-95502-7.00343-2openalex-snapshot
Computation Cluster Validation in the Big Data Era
inferred← citeshttps://doi.org/10.1016/j.apenergy.2021.116971openalex-snapshot
A conditional value-at-risk based planning model for integrated energy system with energy storage and renewables
inferred← citeshttps://doi.org/10.1016/j.cie.2011.04.016openalex-snapshot
Product structure (BOM)-based product similarity measures using orthogonal procrustes approach
inferred← citeshttps://doi.org/10.1016/j.csda.2004.10.012openalex-snapshot
Loevinger's measures of rule quality for assessing cluster stability
inferred← citeshttps://doi.org/10.1016/j.csda.2009.08.023openalex-snapshot
Using combinatorial optimization in model-based trimmed clustering with cardinality constraints
inferred← citeshttps://doi.org/10.1016/j.eswa.2019.01.074openalex-snapshot
Estimating the number of clusters in a dataset via consensus clustering
inferred← citeshttps://doi.org/10.1016/j.foreco.2012.01.024openalex-snapshot
Developing custom fire behavior fuel models from ecologically complex fuel structures for upper Atlantic Coastal Plain forests
inferred← citeshttps://doi.org/10.1016/j.inffus.2017.04.008openalex-snapshot
Collaborative clustering: Why, when, what and how
inferred← citeshttps://doi.org/10.1016/j.infsof.2006.09.002openalex-snapshot
Identification of factors that influence defect injection and detection in development of software intensive products
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106542openalex-snapshot
Differentiable self-supervised clustering with intrinsic interpretability
inferred← citeshttps://doi.org/10.1016/j.tcs.2012.01.024openalex-snapshot
Algorithmic paradigms for stability-based cluster validity and model selection statistical methods, with applications to microarray data analysis
inferred← citeshttps://doi.org/10.1016/s0167-5060(08)70379-0openalex-snapshot
Probability Models for Random Multigraphs with Applications in Cluster Analysis
inferred← citeshttps://doi.org/10.1016/s0167-9473(96)00022-9openalex-snapshot
On the number of clusters
inferred← citeshttps://doi.org/10.1016/s0375-9601(01)00147-5openalex-snapshot
Recurrence analysis of hydration effects on nonlinear protein dynamics: multiplicative scaling and additive processes
inferred← citeshttps://doi.org/10.1017/cbo9781139061414.008openalex-snapshot
Computational analysis of high-throughput material screens
inferred← citeshttps://doi.org/10.1017/s0025315408002403openalex-snapshot
Ontogenetic niche feeding partitioning in juvenile of white sea catfish Genidens barbus in estuarine environments, southern Brazil
inferred← citeshttps://doi.org/10.1023/a:1009562314684openalex-snapshot
Cluster Analysis of a Mixture of Multivariate Probability Distributions under Uniform ‘Contamination’
inferred← citeshttps://doi.org/10.1023/a:1023949509487openalex-snapshot
Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
inferred← citeshttps://doi.org/10.1037/0012-1649.38.3.446openalex-snapshot
Heterogeneity among peer-rejected boys across middle childhood: Developmental pathways of social behavior.
inferred← citeshttps://doi.org/10.1071/9780643101241.dataopenalex-snapshot
Data Collection and Analysis
inferred← citeshttps://doi.org/10.1080/00401706.1990.10484648openalex-snapshot
Algorithms for Clustering Data
inferred← citeshttps://doi.org/10.1080/00949659508811639openalex-snapshot
On the enumeration of rectangular (0, 1)-matrices
inferred← citeshttps://doi.org/10.1080/01621459.1991.10475118openalex-snapshot
Book Reviews
inferred← citeshttps://doi.org/10.1080/01621459.1992.10476277openalex-snapshot
Information Ratios for Validating Mixture Analyses
inferred← citeshttps://doi.org/10.1080/02331939408843931openalex-snapshot
An asymptotic result on principal points for univariate distributions
inferred← citeshttps://doi.org/10.1080/08839510701526541openalex-snapshot
A NON-PARAMETRIC APPROACH TO SIMPLICITY CLUSTERING
inferred← citeshttps://doi.org/10.1080/13682820600806680openalex-snapshot
Subtyping of children with developmental dyslexia via bootstrap aggregated clustering and the gap statistic: comparison with the double‐deficit hypothesis
inferred← citeshttps://doi.org/10.1080/17520840902726268openalex-snapshot
Strategic groups and heterogeneous technologies: an application to the US banking industry
inferred← citeshttps://doi.org/10.1080/24709360.2019.1615770openalex-snapshot
How many clusters exist? Answer via maximum clustering similarity implemented in R
inferred← citeshttps://doi.org/10.1080/2573234x.2022.2122881openalex-snapshot
AGGFORCLUS: A hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks: the COVID-19 Case Study
inferred← citeshttps://doi.org/10.1080/716100278openalex-snapshot
VISUAL SEARCH CHARACTERIZED BY NEW METRICS FOR SCALING AND ANALYSIS
inferred← citeshttps://doi.org/10.1093/bioinformatics/btaa087openalex-snapshot
Statistical significance of cluster membership for unsupervised evaluation of cell identities
inferred← citeshttps://doi.org/10.1093/sysbio/syad028openalex-snapshot
PARNAS: Objectively Selecting the Most Representative Taxa on a Phylogeny
inferred← citeshttps://doi.org/10.1101/248633openalex-snapshot
Statistical significance of cluster membership for determination of cell identities in single cell genomics
inferred← citeshttps://doi.org/10.1109/access.2023.3234185openalex-snapshot
Dielectric Characterization and Statistical Analysis of Ex-Vivo Burnt Human Skin Samples for Microwave Sensor Development
inferred← citeshttps://doi.org/10.1109/hicss.2010.77openalex-snapshot
Automatic Text Analysis of Values in the Enron Email Dataset: Clustering a Social Network Using the Value Patterns of Actors
inferred← citeshttps://doi.org/10.1109/icmla.2012.146openalex-snapshot
A Hybrid Method for Estimating the Predominant Number of Clusters in a Data Set
inferred← citeshttps://doi.org/10.1109/icmlc.2006.258591openalex-snapshot
A New Approach to Hierarchical Clustering Using Partial Least Squares
inferred← citeshttps://doi.org/10.1109/icsmc.2011.6084057openalex-snapshot
Correlation cluster validity
inferred← citeshttps://doi.org/10.1109/jas.2024.125025openalex-snapshot
Self-Cumulative Contrastive Graph Clustering
inferred← citeshttps://doi.org/10.1109/robot.2007.363761openalex-snapshot
Space-time A Contrario Clustering for Detecting Coherent Motions
inferred← citeshttps://doi.org/10.1109/tsmcb.2012.2205679openalex-snapshot
A Cluster Validity Framework Based on Induced Partition Dissimilarity
inferred← citeshttps://doi.org/10.1111/cag.12892openalex-snapshot
Social housing stigma in Toronto: Identifying asymmetries between stereotypes and statistical actualities of health, crime, and human capital
inferred← citeshttps://doi.org/10.1111/nana.12926openalex-snapshot
And if they don't dance, they are no friends of mine: Exploring boundaries of national identity
inferred← citeshttps://doi.org/10.1145/3735977openalex-snapshot
Clustering Categorical Data via Multiple Hypothesis Testing
inferred← citeshttps://doi.org/10.11606/t.11.2007.tde-08082007-170257openalex-snapshot
Avaliação de cinco estratégias de amostragem para a obtenção da coleção nuclear de soja (>i /i< (L.) Merrill)
inferred← citeshttps://doi.org/10.1162/089976601753196030openalex-snapshot
Resampling Method for Unsupervised Estimation of Cluster Validity
inferred← citeshttps://doi.org/10.1175/2009jhm1104.1openalex-snapshot
Influence of Daily Rainfall Characteristics on Regional Summertime Precipitation over the Southwestern United States
inferred← citeshttps://doi.org/10.1177/0049124109342065openalex-snapshot
How Much Does It Cost?
inferred← citeshttps://doi.org/10.1177/014662168701100401openalex-snapshot
Methodology Review: Clustering Methods
inferred← citeshttps://doi.org/10.1177/076737019701200201openalex-snapshot
Analyses typologiques confirmatoires. Evaluation d'une partition hypothétique issue d'une étude sémiotique
inferred← citeshttps://doi.org/10.1186/gb-2002-3-7-research0036openalex-snapshot
A prediction-based resampling method for estimating the number of clusters in a dataset
inferred← citeshttps://doi.org/10.1214/13-ejs801openalex-snapshot
Asymptotics of a clustering criterion for smooth distributions
inferred← citeshttps://doi.org/10.1214/26-ejs2526openalex-snapshot
Consistency of Lloyd’s algorithm under perturbations
inferred← citeshttps://doi.org/10.1348/000711005x48266openalex-snapshot
K‐means clustering: A half‐century synthesis
inferred← citeshttps://doi.org/10.1371/journal.pone.0244691openalex-snapshot
VCC-BPS: Vertical Collaborative Clustering using Bit Plane Slicing
inferred← citeshttps://doi.org/10.14254/2071-8330.2017/10-3/17openalex-snapshot
Segmentation of Portuguese customers’ expectations from fitness programs
inferred← citeshttps://doi.org/10.14430/arctic175openalex-snapshot
Effects of Climate Change on the Seasonality of Weather for Tourism in Alaska
inferred← citeshttps://doi.org/10.1523/jneurosci.0980-08.2009openalex-snapshot
Development of Spontaneous Recurrent Seizures after Kainate-Induced Status Epilepticus
inferred← citeshttps://doi.org/10.1596/29537openalex-snapshot
Lighting Brazilian Cities
inferred← citeshttps://doi.org/10.18778/1508-2008.26.35openalex-snapshot
Does the Pan‑European Personal Pension Product Suit All? Its Perspectives in the EU Member and Candidate Countries
inferred← citeshttps://doi.org/10.20378/irb-105188openalex-snapshot
To Draw a Line : National Identities and their Political Consequences
inferred← citeshttps://doi.org/10.3233/ida-2009-0390openalex-snapshot
Quality indices for (practical) clustering evaluation
inferred← citeshttps://doi.org/10.32388/lshmiqopenalex-snapshot
When a Cluster Is a Cluster
inferred← citeshttps://doi.org/10.3390/e22070753openalex-snapshot
Social Network Analysis and Churn Prediction in Telecommunications Using Graph Theory
inferred← citeshttps://doi.org/10.3390/jmse10050701openalex-snapshot
Critique on Ecological Methodologies Used in Water Quality Studies and Coastal Management: A Review
inferred← citeshttps://doi.org/10.59139/ps.2011.03-04openalex-snapshot
inferred← citeshttps://doi.org/10.59139/ps.2011.03-04.8openalex-snapshot
Ocena jakości wyników grupowania – przegląd bibliografii
inferred← citeshttps://doi.org/10.5962/bhl.title.156822openalex-snapshot
Effects of small sample sizes on the symmetry and reliability of dendrograms
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