Get the ratio cut and normalised cut values for the estimators along the path. It is part of the function in fpca, the main part of this function is single.cut.
● Data Source:
CranContrib
● Keywords:
● Alias: fpca.cut
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Get the fused principal component analysis path object.
● Data Source:
CranContrib
● Keywords:
● Alias: fpca, fpca.nonscore, fpca.score, fpca.start
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Get the indices of the isolated nodes in the graph.
● Data Source:
CranContrib
● Keywords:
● Alias: isolate
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Get the ratio cut and normalised cut values for a single community detection estimator.
● Data Source:
CranContrib
● Keywords:
● Alias: single.cut
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To use k-means to cluster the estimators along the path and get the community labels. fpca.cluster is a wrap up of functions fpca.nonscore.cluster and fpca.score.cluster. The latter two are the clustering functions for the situations in which score = FALSE and score = TRUE, respectively.
● Data Source:
CranContrib
● Keywords:
● Alias: fpca.cluster, fpca.nonscore.cluster, fpca.score.cluster
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Get the graph based penalty transformation matrix, i.e. D_p in p_{λ}(β) = λ|D_pβ|_1.
● Data Source:
CranContrib
● Keywords:
● Alias: fused.trans
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Get the Laplacian matrix of an observed graph. Both unnormalised and symmetric normalised Laplacian matrices are included.
● Data Source:
CranContrib
● Keywords:
● Alias: laplacian
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To generate an adjacency matrix of stochastic blockmodel, degree-corrected block model or cockroach graph model.
● Data Source:
CranContrib
● Keywords:
● Alias: gen.cr, gen.dcbm, gen.sbm
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Get the modularity values based on the DCBM and SBM assumptions for the estimators along the path. It is part of the function in fpca, the main part of this function is single.mod.
● Data Source:
CranContrib
● Keywords:
● Alias: fpca.mod
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Get the final estimator of the community labels along the path, according to ratio cut or normalised cut criterion.
● Data Source:
CranContrib
● Keywords:
● Alias: get.cluster
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providing 
.