discretize: Discretize

In arthans/SpectralClustering: Spectral Clustering

Description

Search for a partition matrix which is closest to the eigenvector embedding.

Usage

discretize(vectors, max_svd_restarts = 30, n_iter_max = 20)

Arguments

vectors	The embedding space of the samples.
max_svd_restarts	Whether to copy vectors, or perform in-place normalization.
n_iter_max	Maximum number of attempts to restart SVD if convergence fails

Details

Maximum number of iterations to attempt in rotation and partition matrix search if machine precision convergence is not reached

Value

The labels of the clusters.

References

[1] Multiclass spectral clustering, 2003 Stella X. Yu, Jianbo Shi https://www1.icsi.berkeley.edu/~stellayu/publication/doc/2003kwayICCV.pdf

See Also

cluster_qr

Examples

data(maps)

labels <- discretize(maps)

labels

arthans/SpectralClustering documentation built on Dec. 19, 2021, 4:41 a.m.