Fuzzy c-means density based clustering using data induced metric


Autoria(s): Beliakov, Gleb; King, Matthew
Contribuinte(s)

Hamza, M.H.

Data(s)

01/01/2005

Resumo

We propose a new data induced metric to perform un supervised data classification (clustering). Our goal is to automatically recognize clusters of non-convex shape. We present a new version of fuzzy c-means al gorithm, based on the data induced metric, which is capable to identify non-convex d-dimensional clusters.<br />

Identificador

http://hdl.handle.net/10536/DRO/DU:30005761

Idioma(s)

eng

Publicador

ACTA Press

Relação

http://dro.deakin.edu.au/eserv/DU:30005761/beliakov-fuzzycmeans-2005.pdf

Direitos

2005, ACTA Press

Palavras-Chave #clustering #unsupervised classification #fuzzy c-means #data induced metric #density estimation
Tipo

Conference Paper