Fitting a Simplicial Complex using a Variation of k-means

Abstract

We give a simple and effective two stage algorithm for approximating a point cloud SR^m by a simplicial complex K. The first stage is an iterative fitting procedure that generalizes k-means clustering, while the second stage involves deleting redundant simplices. A form of dimension reduction of S is obtained as a consequence.

Tasks

Reproductions