PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Boolean Measure of Similarity
Martin Anthony and Peter L. Hammer
(2004) Technical Report. RUTCOR, Rutgers University, Piscataway, New Jersey, USA.

Abstract

We propose a way of measuring the similarity of a Boolean vector to a given set of Boolean vectors, motivated in part by certain data mining or machine learning problems. We relate the similarity measure to one based on Hamming distance and we develop from this some ways of quantifying the `quality' of a dataset.

EPrint Type:Monograph (Technical Report)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Theory & Algorithms
ID Code:259
Deposited By:Martin Anthony
Deposited On:23 November 2004