flexclust
Flexible Cluster Algorithms
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.
Tests Vignettes
Available Snapshots
This version of flexclust can be found in the following snapshots:
Dependencies
| Imports/Depends/LinkingTo/Enhances (2) |
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| Suggests (4) |
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