Minimum Sum of Squares Clustering in a Low Dimensional Space.

Clustering with a criterion which minimizes the sum of squared distances to cluster centroids is usually done in a heuristic way. An exact polunomial algorithm is proposed for minimum sum of squares hierarchical divisive clustering of points in a p-dimensional space with small p.

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Year of publication:	1996
Authors:	Hansen, P ; Jaumard, B ; Mladenovic, N
Institutions:	HEC Montréal (École des Hautes Études Commerciales)
Subject:	STATISTICS

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Series:	Ecole des Hautes Etudes Commerciales de Montreal-.
Type of publication:	Book / Working Paper
Notes:	21 pages
Classification:	C35 - Discrete Regression and Qualitative Choice Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005661263