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FusedPCA (version 0.2)

Community Detection via Fused Principal Component Analysis

Description

Efficient procedures for community detection in network studies, especially for sparse networks. The algorithms impose penalties on the differences of the coordinates which represent the community labels of the nodes.

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Version

Install

install.packages('FusedPCA')

Monthly Downloads

31

Version

0.2

License

GPL (>= 2.0)

Maintainer

Last Published

November 10th, 2013

Functions in FusedPCA (0.2)

isolate

Isolated nodes collection
get.cluster

Final estimators of the community labels
fused.trans

The graph based penalty transformation matrix
generate

generate adjacency matrix of stochastic blockmodel, degree-corrected block model or cockroach graph model.
laplacian

Laplacian matrix
fpca.cluster

Clustering the estimators along the path.
fpca

Fused Principal Component Analysis path.