Description Usage Arguments Value
Uses the eigenvectors of adjMat
1 2 | cca(adjMat, covMat, nBlocks, method = "regLaplacian", rowNorm = F,
center = F, verbose = F, randStarts = 10)
|
adjMat |
An adjacency matrix |
covMat |
A covariate matrix |
nBlocks |
The number of clusters |
method |
The form of the adjacency matrix to be used. |
rowNorm |
True if row normalization should be done before running kmeans. |
center |
A boolean indicating if the covariate matrix columns should be centered. |
verbose |
A boolean indicating if casc output should include eigendecomposition. |
randStarts |
Number of random restarts for kmeans. |
A list with node cluster assignments, the the value of the tuning parameter used, the within cluster sum of squares, and the eigengap.
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