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spack.io : r-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.
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Source
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purl: pkg:spack/r-flexclust
License: Other
Latest release: almost 2 years ago
First release: about 2 years ago
Dependent packages: 1
Last synced: 15 days ago