scvxclustr: Sparse Convex Clustering

Alternating Minimization Algorithm (AMA) and Alternating Direction Method of Multipliers (ADMM) splitting methods for sparse convex clustering.

AuthorYilong Zhang, Binhuan Wang, Wei Sun, Yixin Fang
Date of publication2016-10-13 20:37:12
MaintainerYilong Zhang <elong0527@gmail.com>
LicenseCC BY-NC-SA 4.0
Version0.1

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Files in this package

scvxclustr
scvxclustr/inst
scvxclustr/inst/include
scvxclustr/inst/include/scvxclustr.h
scvxclustr/inst/include/scvxclustr_RcppExports.h
scvxclustr/src
scvxclustr/src/ama.cpp
scvxclustr/src/RcppExports.cpp
scvxclustr/src/admm.cpp
scvxclustr/NAMESPACE
scvxclustr/R
scvxclustr/R/dist_weight.R scvxclustr/R/predict_validate.R scvxclustr/R/scvxclust.R scvxclustr/R/RcppExports.R
scvxclustr/R/util.r
scvxclustr/MD5
scvxclustr/DESCRIPTION
scvxclustr/man
scvxclustr/man/predict_validate.Rd scvxclustr/man/create_adjacency.Rd scvxclustr/man/find_clusters.Rd scvxclustr/man/AMA_step_size.Rd scvxclustr/man/create_clustering_problem.Rd scvxclustr/man/scvxclust.Rd scvxclustr/man/compactify_edges.Rd scvxclustr/man/dist_weight.Rd

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