Skip to contents

Clustering algorithm: Spectral clustering with eigen-gap heuristic

spectral_eigen_classic.Rd

Applies spectral clustering to similarity matrix. Number of clusters is based on the eigen-gap heuristic. Range of possible cluster solutions is fixed between 2 and 5 inclusive.

Usage

spectral_eigen_classic(similarity_matrix)

Arguments

similarity_matrix

A similarity matrix.

Value

solution_data A list storing cluster assignments and the number of clusters.