
R
 Referenced in 2946 articles
[sw00771]
 modelling, classical statistical tests, timeseries analysis, classification, clustering, ...) and graphical techniques, and is highly...

SAS/STAT
 Referenced in 117 articles
[sw18788]
 analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, and nonparametric analysis. A few examples...

Silhouettes
 Referenced in 77 articles
[sw03705]
 interpretation and validation of cluster analysis...

cran
 Referenced in 112 articles
[sw04351]
 nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult the R project...

APCluster
 Referenced in 52 articles
[sw11002]
 clustering, and various tools for visual analysis of clustering results...

Mixmod
 Referenced in 20 articles
[sw06991]
 Modelbased cluster and discriminant analysis with the MIXMOD software The Mixture Modeling (MIXMOD) program ... purposes of density estimation, clustering or discriminant analysis. A large variety of algorithms to estimate ... suitability depending on the particular perspective (cluster analysis or discriminant analysis). Written in C++, MIXMOD...

cluster (R)
 Referenced in 15 articles
[sw04571]
 cluster: Cluster Analysis Extended Rousseeuw et al , Cluster Analysis, extended original from Peter Rousseeuw, Anja...

PRISM
 Referenced in 289 articles
[sw01186]
 decision processes and continuoustime Markov chains. Analysis is performed through model checking such systems ... randomized distributed algorithms, manufacturing systems and workstation clusters...

flexclust
 Referenced in 12 articles
[sw04583]
 general framework for kcentroids cluster analysis supporting arbitrary distance measures and centroid computation. Further ... centroids, ...), and bootstrap methods for the analysis of cluster stability...

psych
 Referenced in 11 articles
[sw04549]
 primarily for scale construction using factor analysis, cluster analysis and reliability analysis, although others provide...

compositions
 Referenced in 7 articles
[sw00150]
 boxplots), principal component analysis (using biplots), cluster analysis with Aitchison distance, analysis of variance (ANOVA...

GenSoFNN
 Referenced in 8 articles
[sw08761]
 specified prior to training. A cluster analysis is first performed on the training data ... through the proper connections of these computed clusters. However, most existing neural fuzzy systems (whether...

TreeSOM
 Referenced in 4 articles
[sw01963]
 TreeSOM: cluster analysis in the selforganizing map Clustering problems arise in various domains ... similar elements close together, forming clusters. Cluster analysis is often left to the user ... tools to perform unsupervised SOM cluster analysis, determine cluster confidence and visualize the result...

e1071
 Referenced in 26 articles
[sw07985]
 Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest...

SuLQ
 Referenced in 16 articles
[sw11355]
 primitive: principal component analysis, k means clustering, the Perceptron Algorithm, the ID3 algorithm, and (apparently...

mlr
 Referenced in 7 articles
[sw12357]
 also an experimental extension for survival analysis, clustering and general, examplespecific costsensitive learning...

pvclust
 Referenced in 5 articles
[sw07120]
 assessing the uncertainty in hierarchical cluster analysis. It provides AU (approximately unbiased) pvalues...

Nway Toolbox
 Referenced in 18 articles
[sw12996]
 clustering for multiway clustering, CuBatch for batch data analysis, indafac for PARAFAC, PARALIND...

pdfCluster
 Referenced in 3 articles
[sw14640]
 package pdfCluster: Cluster analysis via nonparametric density estimation. The package performs cluster analysis via nonparametric ... methods for evaluating the quality of the clustering are available. The package includes also...

impute
 Referenced in 52 articles
[sw14376]
 values. Unfortunately, many algorithms for gene expression analysis require a complete matrix of gene array ... input. For example, methods such as hierarchical clustering and Kmeans clustering are not robust...