rtemis (version 0.79)

u.SPEC: Spectral Clustering

Description

Perform Spectral Clustering using kernlab::specc

Usage

u.SPEC(x, k = 2, kernel = "rbfdot", kpar = "automatic",
  nystrom.red = FALSE, nystrom.sample = dim(x)[1]/6,
  iterations = 200, mod.sample = 0.75, na.action = na.omit,
  verbose = TRUE, ...)

Arguments

x

Input matrix / data.frame

k

Integer: Number of clusters to get

kernel

String: Kernel to use: "rbfdot", "polydot", "vanilladot", tanhdot", "laplacedot", "besseldot", "anovadot", "splinedot", "stringdot"

kpar

String OR List: "automatic", "local" OR list with: sigma (for "rbfdor", "laplacedot"); degree, scale, offset (for "polydot"); scale, offset (for "tanhdot"); sigma, order, degree (for "besseldot"); sigma, degree (for "anovadot"); length, lambda, normalized (for "stringdot")

nystrom.red

Logical: if TRUE, use nystrom method to calculate eigenvectors (Default = FALSE)

nystrom.sample

Integer: Number of points to use for estimating the eigenvalues when nystrom.red = TRUE Default = dim(x)[1]/6

iterations

Integer: Number of iterations allowed

mod.sample

Float (0, 1): Proportion of data to use when estimating sigma. Default = .75

na.action

Function: Action to perform on NA (Default = na.omit)

verbose

Logical: If TRUE, print messages to screen

...

Additional parameters to be passed to flexclust::cclust

See Also

Other Clustering: u.CMEANS, u.EMC, u.H2OKMEANS, u.HARDCL, u.HOPACH, u.KMEANS, u.NGAS, u.PAMK, u.PAM