• R

  • Referenced in 6356 articles [sw00771]
  • modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly...
  • SAS/STAT

  • Referenced in 348 articles [sw18788]
  • analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, and nonparametric analysis. A few examples...
  • clusfind

  • Referenced in 348 articles [sw27805]
  • stand-alone Fortran programs for cluster analysis. The programs are described and illustrated ... PAM.FOR (partitions the data set into clusters with a new method using medoids); Chapter...
  • CRAN

  • Referenced in 332 articles [sw04351]
  • nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult the R project...
  • APCluster

  • Referenced in 77 articles [sw11002]
  • clustering, and various tools for visual analysis of clustering results...
  • cluster (R)

  • Referenced in 37 articles [sw04571]
  • package cluster: Cluster Analysis Extended Rousseeuw et al , Cluster Analysis, extended original from Peter Rousseeuw...
  • SuLQ

  • Referenced in 114 articles [sw11355]
  • primitive: principal component analysis, k means clustering, the Perceptron Algorithm, the ID3 algorithm, and (apparently...
  • Mixmod

  • Referenced in 31 articles [sw06991]
  • Model-based 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...
  • psych

  • Referenced in 20 articles [sw04549]
  • primarily for scale construction using factor analysis, cluster analysis and reliability analysis, although others provide...
  • flexclust

  • Referenced in 19 articles [sw04583]
  • general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further ... centroids, ...), and bootstrap methods for the analysis of cluster stability...
  • PRISM

  • Referenced in 368 articles [sw01186]
  • decision processes and continuous-time Markov chains. Analysis is performed through model checking such systems ... randomized distributed algorithms, manufacturing systems and workstation clusters...
  • e1071

  • Referenced in 70 articles [sw07985]
  • Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest...
  • mlr

  • Referenced in 20 articles [sw12357]
  • also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning...
  • ks

  • Referenced in 28 articles [sw08013]
  • functions, density derivatives, cumulative distributions, modal clustering, discriminant analysis, significant modal regions and two-sample...
  • compositions

  • Referenced in 13 articles [sw00150]
  • boxplots), principal component analysis (using biplots), cluster analysis with Aitchison distance, analysis of variance (ANOVA...
  • pdfCluster

  • Referenced in 9 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...
  • GAP

  • Referenced in 12 articles [sw26294]
  • graphical environment for matrix visualization and cluster analysis. GAP is a Java-designed exploratory data ... analysis (EDA) software for matrix visualization (MV) and clustering of high-dimensional data sets...
  • PermutMatrix

  • Referenced in 10 articles [sw22075]
  • dataset. It implements several types of cluster analysis and a variety of methods for statistical ... work on the use of hierarchical clustering for gene expression data...
  • GenSoFNN

  • Referenced in 9 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...