Description Usage Arguments Value See Also
Spectral clustering
1 2 | clustering(Weights, method, k, t = NULL, sparse = TRUE,
kmeans.method = "kmeans", m = NULL)
|
Weights |
Matrix of similarity weights. Can be dense or sparse. |
method |
NJW, Ncut, DiffusionMap. |
k |
Number of clusters. |
t |
Number of steps for the diffusion map. |
sparse |
Logical. Indicates whether the input for the weights argument is sparse. |
kmeans.method |
One of the following: "kmeans", "fuzzy", "poly.fuzzy" |
m |
Fuzziness parameter. Defaults to m=2 for fuzzy; m=.5 for poly.fuzzy. |
Integer vector. Cluster assignments for each row of original data.
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