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Some remarks on theR2for clustering
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jmva.2000.1960openalex-snapshot
A General Class of Multivariate Skew-Elliptical Distributions
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/978-1-4612-6333-3openalex-snapshot
A Practical Guide to Splines
inferredcites →https://doi.org/10.1007/978-1-4899-2937-2openalex-snapshot
Symmetric Multivariate and Related Distributions
inferredcites →https://doi.org/10.1007/978-94-009-3977-6_2openalex-snapshot
On the Interface between Cluster Analysis, Principal Component Analysis, and Multidimensional Scaling
inferredcites →https://doi.org/10.1007/b98886openalex-snapshot
Applied Functional Data Analysis: Methods and Case Studies
inferredcites →https://doi.org/10.1007/bf01202271openalex-snapshot
Weighting and selection of variables for cluster analysis
inferredcites →https://doi.org/10.1007/bf01733304openalex-snapshot
Untersuchungen über Wabenzellen bei allgemeiner Minkowskischer Metrik
inferredcites →https://doi.org/10.1007/bf01897163openalex-snapshot
A study of standardization of variables in cluster analysis
inferredcites →https://doi.org/10.1007/bf01908588openalex-snapshot
A validation study of a variable weighting algorithm for cluster analysis
inferredcites →https://doi.org/10.1007/bf02507031openalex-snapshot
Generalized skew-elliptical distributions and their quadratic forms
inferredcites →https://doi.org/10.1007/bfb0103945openalex-snapshot
Foundations of Quantization for Probability Distributions
inferredcites →https://doi.org/10.1007/s00357-014-9161-zopenalex-snapshot
Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?
inferredcites →https://doi.org/10.1007/s00362-013-0532-zopenalex-snapshot
Principal points for an allometric extension model
inferredcites →https://doi.org/10.1007/s00477-009-0341-zopenalex-snapshot
Modelling air pollution data by the skew-normal distribution
inferredcites →https://doi.org/10.1016/j.conctc.2017.02.007openalex-snapshot
Statistical analysis plan for stage 1 EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care) study
inferredcites →https://doi.org/10.1016/j.csda.2007.02.009openalex-snapshot
High-dimensional data clustering
inferredcites →https://doi.org/10.1016/j.jmva.2006.11.013openalex-snapshot
Comparing clusterings—an information based distance
inferredcites →https://doi.org/10.1016/j.spl.2012.08.032openalex-snapshot
Skewness and the linear discriminant function
inferredcites →https://doi.org/10.1016/j.spl.2015.01.018openalex-snapshot
Vector-valued skewness for model-based clustering
inferredcites →https://doi.org/10.1017/s0021900200011360openalex-snapshot
Improved Approximation of the Sum of Random Vectors by the Skew Normal Distribution
inferredcites →https://doi.org/10.1080/00031305.1985.10479448openalex-snapshot
Cautionary Note aboutR2
inferredcites →https://doi.org/10.1080/00031305.1996.10474361openalex-snapshot
Revisiting Olympic Track Records: Some Practical Considerations in the Principal Component Analysis
inferredcites →https://doi.org/10.1080/01621459.1963.10500845openalex-snapshot
Hierarchical Grouping to Optimize an Objective Function
inferredcites →https://doi.org/10.1080/01621459.1967.10500923openalex-snapshot
On Some Invariant Criteria for Grouping Data
inferredcites →https://doi.org/10.1080/01621459.1971.10482356openalex-snapshot
Objective Criteria for the Evaluation of Clustering Methods
inferredcites →https://doi.org/10.1093/biomet/56.3.463openalex-snapshot
Estimating the Components of a Mixture of Normal Distributions
inferredcites →https://doi.org/10.1098/rsta.1895.0010openalex-snapshot
X. Contributions to the mathematical theory of evolution.—II. Skew variation in homogeneous material
inferredcites →https://doi.org/10.1111/1467-9469.00350openalex-snapshot
Unsupervised Curve Clustering using B‐Splines
inferredcites →https://doi.org/10.1111/1467-9868.00293openalex-snapshot
Estimating the Number of Clusters in a Data Set Via the Gap Statistic
inferredcites →https://doi.org/10.1111/j.0006-341x.1999.01210.xopenalex-snapshot
Allometric Extension
inferredcites →https://doi.org/10.1111/j.1442-9993.2001.01070.pp.xopenalex-snapshot
A new method for non‐parametric multivariate analysis of variance
inferredcites →https://doi.org/10.1111/j.1467-9868.2006.00545.xopenalex-snapshot
Functional Clustering by Bayesian Wavelet Methods
inferredcites →https://doi.org/10.1111/j.1467-9868.2007.00605.xopenalex-snapshot
Functional Clustering and Identifying Substructures of Longitudinal Data
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1176/appi.ajp.2015.14091200openalex-snapshot
Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers
inferredcites →https://doi.org/10.1198/000313007x171016openalex-snapshot
Linear Transformations and the k -Means Clustering Algorithm
inferredcites →https://doi.org/10.1198/000313008x305359openalex-snapshot
A Note on Improved Approximation of the Binomial Distribution by the Skew-Normal Distribution
inferredcites →https://doi.org/10.1198/016214503000000666openalex-snapshot
Finding the Number of Clusters in a Dataset
inferredcites →https://doi.org/10.1198/jasa.2010.ap08713openalex-snapshot
Optimal Partitioning for Linear Mixed Effects Models: Applications to Identifying Placebo Responders
inferredcites →https://doi.org/10.1198/jasa.2010.tm09415openalex-snapshot
A Framework for Feature Selection in Clustering
inferredcites →https://doi.org/10.1214/15-ejs1029openalex-snapshot
Preconditioning the Lasso for sign consistency
inferredcites →https://doi.org/10.1214/aos/1176324457openalex-snapshot
Principal Points and Self-Consistent Points of Elliptical Distributions
inferredcites →https://doi.org/10.1214/ss/1032280215openalex-snapshot
Self-consistency: a fundamental concept in statistics
inferredcites →https://doi.org/10.1348/000711005x48266openalex-snapshot
K‐means clustering: A half‐century synthesis
inferredcites →https://doi.org/10.1890/0012-9658(2001)082[0290:fmmtcd]2.0.co;2openalex-snapshot
FITTING MULTIVARIATE MODELS TO COMMUNITY DATA: A COMMENT ON DISTANCE-BASED REDUNDANCY ANALYSIS
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
inferredcites →https://doi.org/10.2307/2529003openalex-snapshot
Clustering Methods Based on Likelihood Ratio Criteria
inferredcites →https://doi.org/10.2307/2529785openalex-snapshot
An Algorithm for Euclidean Sum of Squares Classification
inferredcites →https://doi.org/10.2307/2531893openalex-snapshot
A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.4088/jcp.v61n0710openalex-snapshot
Predictors of Relapse During Fluoxetine Continuation or Maintenance Treatment of Major Depression
inferredcites →https://doi.org/10.48550/arxiv.1111.6285openalex-snapshot
Ward's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm
inferredcites →https://doi.org/10.48550/arxiv.1704.01036openalex-snapshot
Natural Scales in Geographical Patterns
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s13571-020-00239-6openalex-snapshot
High Precision Numerical Computation of Principal Points for Univariate Distributions
inferred← citeshttps://doi.org/10.1016/j.jmva.2025.105540openalex-snapshot
Robust variable selection criteria for the penalized regression
inferred← citeshttps://doi.org/10.1016/j.trip.2025.101354openalex-snapshot
Spatio-temporal impacts of unplanned service disruptions on public transit demand
inferred← citeshttps://doi.org/10.1080/15366367.2026.2685570openalex-snapshot
Skewness Projection Pursuit: Past, Present and Future
inferred← citeshttps://doi.org/10.1177/17543371231200056openalex-snapshot
A Random Forest clustering to explore the influence of physical fitness level of youth basketball players on match-related physical performance
inferred← citeshttps://doi.org/10.1177/19417381261459595openalex-snapshot
A Comparison of Match Loads and Time Course of Recovery in Youth Handball Players With Different Neuromuscular Performance
inferred← citeshttps://doi.org/10.3390/su11102750openalex-snapshot
Production System Diversification and Livelihood in the Drylands of North Central Mexico
inferred← citeshttps://doi.org/10.3390/su142315540openalex-snapshot
Spatiotemporal Land-Use Dynamics in Continental Portugal 1995–2018
inferred← citeshttps://doi.org/10.3390/su17125662openalex-snapshot
Eco-Sensitive Minds: Clustering Readiness to Change and Environmental Sensitivity for Sustainable Engagement
inferred← citeshttps://doi.org/10.70675/67c46725za32bz4602z879dz5dc3f47be8e3openalex-snapshot
Représentation sociale de la réussite chez les néo-étudiants : impact des variabilités socio-économiques et lien avec l'engagement et la réussite académique
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