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A validation study of a variable weighting algorithm for 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/10.1002/bimj.4710280307openalex-snapshot
Weighted Standardization—A General Data Transformation Method Proceeding Classification Procedures
inferredcites →https://doi.org/10.1007/bf00227423openalex-snapshot
Optimal variable weighting for ultrametric and additive tree clustering
inferredcites →https://doi.org/10.1007/bf01897163openalex-snapshot
A study of standardization of variables in cluster analysis
inferredcites →https://doi.org/10.1007/bf01901677openalex-snapshot
OVWTRE: A program for optimal variable weighting for ultrametric and additive tree fitting
inferredcites →https://doi.org/10.1007/bf01908074openalex-snapshot
Optimal variable weighting for hierarchical clustering: An alternating least-squares algorithm
inferredcites →https://doi.org/10.1007/bf02293743openalex-snapshot
Note on Ultrametric Hierarchical Clustering Algorithms
inferredcites →https://doi.org/10.1007/bf02293907openalex-snapshot
An Examination of the Effect of Six Types of Error Perturbation on Fifteen Clustering Algorithms
inferredcites →https://doi.org/10.1007/bf02294153openalex-snapshot
An Algorithm for Generating Artificial Test Clusters
inferredcites →https://doi.org/10.1007/bf02294206openalex-snapshot
Synthesized Clustering: A method for Amalgamating Alternative Clustering Bases with Differential Weighting of Variables
inferredcites →https://doi.org/10.1007/bf02294699openalex-snapshot
Ultrametric Hierarchical Clustering Algorithms
inferredcites →https://doi.org/10.1016/0031-3203(80)90001-1openalex-snapshot
The validation of four ultrametric clustering algorithms
inferredcites →https://doi.org/10.1016/0167-9473(85)90008-8openalex-snapshot
Classification as a tool of research
inferredcites →https://doi.org/10.1016/0266-9838(87)90010-4openalex-snapshot
Cluster analysis for researchers
inferredcites →https://doi.org/10.1016/b978-0-12-498150-8.50024-0openalex-snapshot
TOWARD A PRACTICAL METHOD WHICH HELPS UNCOVER THE STRUCTURE OF A SET OF MULTIVARIATE OBSERVATIONS BY FINDING THE LINEAR TRANSFORMATION WHICH OPTIMIZES A NEW “INDEX OF CONDENSATION”
inferredcites →https://doi.org/10.1080/01621459.1983.10478008openalex-snapshot
A Method for Comparing Two Hierarchical Clusterings
inferredcites →https://doi.org/10.1093/sysbio/19.1.58openalex-snapshot
Adaptive Hierarchical Clustering Schemes
inferredcites →https://doi.org/10.1109/tpami.1983.4767342openalex-snapshot
The Effect of Cluster Size, Dimensionality, and the Number of Clusters on Recovery of True Cluster Structure
inferredcites →https://doi.org/10.1207/s15327906mbr2104_5openalex-snapshot
A Study of the Comparability of External Criteria for Hierarchical Cluster Analysis
inferredcites →https://doi.org/10.1207/s15327906mbr2402_2openalex-snapshot
A Study of the Beta-Flexible Clustering Method
inferredcites →https://doi.org/10.2307/2288123openalex-snapshot
A Method for Comparing Two Hierarchical Clusterings: Rejoinder
inferredcites →https://doi.org/10.2307/2412027openalex-snapshot
Adaptive Hierarchical Clustering Schemes
inferredcites →https://doi.org/10.2307/2981629openalex-snapshot
A Review of Hierarchical Classification
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/0471264385.wei0207openalex-snapshot
Clustering and Classification Methods
inferred← citeshttps://doi.org/10.1002/9781118133880.hop202007openalex-snapshot
Clustering and Classification Methods
inferred← citeshttps://doi.org/10.1002/j.2333-8504.1994.tb01609.xopenalex-snapshot
VARIABLE SCREENING FOR CLUSTER ANALYSIS
inferred← citeshttps://doi.org/10.1002/j.2333-8504.1994.tb01619.xopenalex-snapshot
A PRELIMINARY STUDY OF THE EFFECTS OF WITHIN‐GROUP COVARIANCE STRUCTURE ON RECOVERY IN CLUSTER ANALYSIS
inferred← citeshttps://doi.org/10.1002/j.2333-8504.1995.tb01670.xopenalex-snapshot
A PRELIMINARY COMPARISON OF THE EFFECTIVENESS OF CLUSTER ANALYSIS WEIGHTING PROCEDURES FOR WITHIN‐GROUP COVARIANCE STRUCTURE
inferred← citeshttps://doi.org/10.1002/j.2333-8504.1999.tb01806.xopenalex-snapshot
THE EFFECTS OF WITHIN‐GROUP COVARIANCE STRUCTURE ON RECOVERY IN CLUSTER ANALYSIS: II. EXTENSION TO THE P‐DIMENSIONAL CASE
inferred← citeshttps://doi.org/10.1002/sam.11378openalex-snapshot
Some remarks on theR2for clustering
inferred← citeshttps://doi.org/10.1007/978-0-387-28692-1_4openalex-snapshot
Multidimensional Scaling and Clustering in Marketing: Paul Green’s Role
inferred← citeshttps://doi.org/10.1007/978-1-84996-489-0_14openalex-snapshot
Selecting Relevant Clustering Variables in Mass Customization Scenarios Characterized by Workers’ Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-27115-1_5openalex-snapshot
Students’ Processing Types in a Computer-Based Learning Environment for Mathematical Modelling
inferred← citeshttps://doi.org/10.1007/978-3-319-13159-7_82openalex-snapshot
Estimation of Mexican Market Segments (MEMS) Comparison of Alternative Strategies for Segment Definition
inferred← citeshttps://doi.org/10.1007/978-3-319-17356-6_36openalex-snapshot
An Empirical Assessment of Two Univariate Screening Measures in Cluster Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-19644-2_55openalex-snapshot
Real Implantation of an Expert System for Elderly Home Care
inferred← citeshttps://doi.org/10.1007/978-3-642-50974-2_1openalex-snapshot
Hierarchical Clustering of Sampled Functions
inferred← citeshttps://doi.org/10.1007/978-3-642-55721-7_12openalex-snapshot
On The General Distance Measure
inferred← citeshttps://doi.org/10.1007/bf00222328openalex-snapshot
Classifying genotypic data from plant breeding trials: a preliminary investigation using repeated checks
inferred← citeshttps://doi.org/10.1007/bf01202271openalex-snapshot
Weighting and selection of variables for cluster analysis
inferred← citeshttps://doi.org/10.1007/bf01246105openalex-snapshot
Measuring the influence of individual data points in a cluster analysis
inferred← citeshttps://doi.org/10.1007/bf01901677openalex-snapshot
OVWTRE: A program for optimal variable weighting for ultrametric and additive tree fitting
inferred← citeshttps://doi.org/10.1007/bf01908720openalex-snapshot
A preliminary study of optimal variable weighting in k-means clustering
inferred← citeshttps://doi.org/10.1007/bf02294838openalex-snapshot
A Variable-Selection Heuristic for K-means Clustering
inferred← citeshttps://doi.org/10.1007/s00357-001-0018-xopenalex-snapshot
Optimal Variable Weighting for Ultrametric and Additive Trees and K-means Partitioning: Methods and Software
inferred← citeshttps://doi.org/10.1007/s00357-006-0018-yopenalex-snapshot
Generation of Random Clusters with Specified Degree of Separation
inferred← citeshttps://doi.org/10.1007/s10212-018-00411-7openalex-snapshot
Emotional and motivational relationship of elementary students to mathematical problem-solving: a person-centered approach
inferred← citeshttps://doi.org/10.1007/s11336-007-9013-4openalex-snapshot
A Comparison of Heuristic Procedures for Minimum Within-Cluster Sums of Squares Partitioning
inferred← citeshttps://doi.org/10.1007/s11336-007-9019-yopenalex-snapshot
Selection of Variables in Cluster Analysis: An Empirical Comparison of Eight Procedures
inferred← citeshttps://doi.org/10.1007/s11573-024-01213-8openalex-snapshot
Machine learning-based variable selection for clustered credit risk modeling
inferred← citeshttps://doi.org/10.1016/0378-4290(91)90075-7openalex-snapshot
Analysis of the environmental component of genotype × environment interaction in crop adaptation evaluation
inferred← citeshttps://doi.org/10.1016/j.cor.2013.10.005openalex-snapshot
A mixed integer linear model for clustering with variable selection
inferred← citeshttps://doi.org/10.1016/j.ijpe.2011.01.009openalex-snapshot
Selecting the best clustering variables for grouping mass-customized products involving workers' learning
inferred← citeshttps://doi.org/10.1016/j.ins.2017.02.010openalex-snapshot
Using the stability of objects to determine the number of clusters in datasets
inferred← citeshttps://doi.org/10.1016/j.jbi.2009.11.004openalex-snapshot
SKM-SNP: SNP markers detection method
inferred← citeshttps://doi.org/10.1016/j.jmp.2004.11.004openalex-snapshot
ConPar: a method for identifying groups of concordant subject proximity matrices for subsequent multidimensional scaling analyses
inferred← citeshttps://doi.org/10.1016/j.neucom.2012.11.009openalex-snapshot
A weighting k-modes algorithm for subspace clustering of categorical data
inferred← citeshttps://doi.org/10.1016/j.patcog.2011.06.004openalex-snapshot
A feature group weighting method for subspace clustering of high-dimensional data
inferred← citeshttps://doi.org/10.1016/j.sapharm.2007.02.001openalex-snapshot
The uses and benefits of cluster analysis in pharmacy research
inferred← citeshttps://doi.org/10.1037/1082-989x.9.3.386openalex-snapshot
Properties of the Hubert-Arable Adjusted Rand Index.
inferred← citeshttps://doi.org/10.1037/1082-989x.9.4.510openalex-snapshot
Clustering Binary Data in the Presence of Masking Variables.
inferred← citeshttps://doi.org/10.1057/s41270-018-0045-7openalex-snapshot
Joint selection of variables and clusters: recovering the underlying structure of marketing data
inferred← citeshttps://doi.org/10.1080/00273170701836695openalex-snapshot
A New Variable Weighting and Selection Procedure for K-means Cluster Analysis
inferred← citeshttps://doi.org/10.1080/07350015.2021.2000418openalex-snapshot
Composite Index Construction with Expert Opinion
inferred← citeshttps://doi.org/10.1081/sac-120023883openalex-snapshot
Identifying Multiple Cluster Structures in a Data Matrix
inferred← citeshttps://doi.org/10.1093/icesjms/fsaf066openalex-snapshot
Identifying priority recreational fishing objectives for inclusion in harvest strategies
inferred← citeshttps://doi.org/10.1109/ifita.2009.34openalex-snapshot
The Application on Intrusion Detection Based on K-means Cluster Algorithm
inferred← citeshttps://doi.org/10.1109/tkde.2007.1048openalex-snapshot
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data
inferred← citeshttps://doi.org/10.1109/tkde.2012.101openalex-snapshot
Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference
inferred← citeshttps://doi.org/10.1109/tpami.2005.95openalex-snapshot
Automated variable weighting in k-means type clustering
inferred← citeshttps://doi.org/10.1111/j.1467-9868.2004.02059.xopenalex-snapshot
Clustering Objects on Subsets of Attributes (with Discussion)
inferred← citeshttps://doi.org/10.1111/j.1540-5915.1991.tb01910.xopenalex-snapshot
A Computational Study of Replicated Clustering with an Application to Market Segmentation*
inferred← citeshttps://doi.org/10.1146/annurev.ps.43.020192.001125openalex-snapshot
Combinatorial Data Analysis
inferred← citeshttps://doi.org/10.1177/002224379903600408openalex-snapshot
HINoV: A New Model to Improve Market Segment Definition by Identifying Noisy Variables
inferred← citeshttps://doi.org/10.1198/000313007x171016openalex-snapshot
Linear Transformations and the k -Means Clustering Algorithm
inferred← citeshttps://doi.org/10.1198/016214504000001565openalex-snapshot
Bayesian Variable Selection in Clustering High-Dimensional Data
inferred← citeshttps://doi.org/10.1207/s15327906mbr3002_6openalex-snapshot
The Effects of Within-group Covariance Structure on Recovery in Cluster Analysis: I. The Bivariate Case
inferred← citeshttps://doi.org/10.1207/s15327906mbr3003_5openalex-snapshot
Univariate Screening Measures for Cluster Analysis
inferred← citeshttps://doi.org/10.1207/s15327906mbr3502_5openalex-snapshot
Validating Cluster Analysis: Consistent Replication and Symmetry
inferred← citeshttps://doi.org/10.1300/j142v04n01_07openalex-snapshot
An Investigation of the Efficacy of Univariate Screening Measures in Defining Market Structure
inferred← citeshttps://doi.org/10.1504/ijdmmm.2009.026074openalex-snapshot
SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters
inferred← citeshttps://doi.org/10.15611/aoe.2022.1.02openalex-snapshot
A dynamic approach to relative taxonomy in the assessment of changes in the social cohesion of polish provinces in 2010-2018
inferred← citeshttps://doi.org/10.18778/7525-695-6openalex-snapshot
Metody selekcji zmiennych w analizie skupień. Nowe procedury
inferred← citeshttps://doi.org/10.23919/mipro.2019.8756951openalex-snapshot
Analysis of clustering algorithms for group discovery in a web-based intelligent tutoring system
inferred← citeshttps://doi.org/10.26180/4621684openalex-snapshot
Classification methods for time series
inferred← citeshttps://doi.org/10.3991/ijet.v11i03.5103openalex-snapshot
Increasing the Adaptivity of an Intelligent Tutoring System with Educational Data Mining: A System Overview
inferred← citeshttps://doi.org/10.4995/thesis/10251/2641openalex-snapshot
On Clustering and Evaluation of Narrow Domain Short-Test Corpora
inferred← citeshttps://doi.org/10.5351/csam.2015.22.1.055openalex-snapshot
Variable Selection and Outlier Detection for Automated K-means Clustering
inferred← citeshttps://doi.org/10.5351/kjas.2012.25.3.471openalex-snapshot
A Variable Selection Procedure for K-Means Clustering
inferred← citeshttps://doi.org/10.59139/ps.2014.02.4openalex-snapshot
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