SPECTRAL: Spectral clustering method

In fdm2id: Data Mining and R Programming for Beginners

Spectral clustering method

Description

Run a Spectral clustering algorithm.

Usage

SPECTRAL(d, k, sigma = 1, graph = FALSE, seed = NULL, ...)

Arguments

d	The dataset (matrix or data.frame).
k	The number of cluster.
sigma	Width of the gaussian used to build the affinity matrix.
graph	A logical indicating whether or not a graphic should be plotted (projection on the spectral space of the affinity matrix).
seed	A specified seed for random number generation (final k-means step).
...	Other parameters.

See Also

spectral-class

Examples

require (datasets)
data (iris)
SPECTRAL (iris [, -5], k = 3)

fdm2id documentation built on Aug. 28, 2026, 9:07 a.m.