SPECTRALwrapper: Wrapper to do spectral clustering

In btaschler/mcap: Model-Based Clustering in High Dimensions via Adaptive Projections

Description

Spectral clustering using an RBF kernel. The wrapper performs multiple restarts in case true labels are provided (in order to optimise cluster assignments w.r.t. the Rand index).

Usage

SPECTRALwrapper(xx, k, true_labels = NULL, verbose = FALSE)

Arguments

xx	The data matrix (n x p).
k	The number of clusters.
true_labels	Vector of true cluster assignments (when provided, it is used to compute the Rand index).
verbose	Logical, when true: print progress information.

Value

model_fit

Model fit (output of mixglasso)

.

aRI	Adjusted Rand index (when true_labels is provided)

.

Author(s)

Bernd Taschler [e-mail]

See Also

MCAPfit, GMMwrapper, specc, adjustedRandIndex

Examples

  SPECTRALwrapper(xx = matrix(rnorm(500),50), k=2)

btaschler/mcap documentation built on May 26, 2019, 1:31 a.m.