flexclust: Flexible Cluster Algorithms (original) (raw)
The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.
| Version: | 1.5.0 |
|---|---|
| Depends: | R (≥ 2.14.0) |
| Imports: | graphics, grid, lattice, methods, modeltools, parallel, stats, stats4, class |
| Suggests: | ellipse, clue, cluster, seriation, skmeans |
| Published: | 2025-02-28 |
| DOI: | 10.32614/CRAN.package.flexclust |
| Author: | Friedrich Leisch  [aut] (maintainer up to 2024), Evgenia Dimitriadou [ctb], Lena Ortega Menjivar [ctb], Dominik Ernst [ctb], Bettina Grün [ctb, cre] |
| Maintainer: | Bettina Grün <Bettina.Gruen at R-project.org> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Citation: | flexclust citation info |
| Materials: | NEWS |
| In views: | Cluster |
| CRAN checks: | flexclust results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | clusTransition, mcen, ockc, RSKC |
|---|---|
| Reverse imports: | AurieLSHGaussian, biclust, bnem, bootcluster, dtwclust, flexord, miclust, mnem, S4DM, semiArtificial, spconf, tidyclust, TMixClust, Xplortext |
| Reverse suggests: | cola, FCPS, fdm2id, FeatureImpCluster, lionfish, MVA, OTclust, simplifyEnrichment, wrMisc |
| Reverse enhances: | clue |
Linking:
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