Open AccessKernel‐based clustering
Author(s) -
Piciarelli C.,
Micheloni C.,
Foresti G.L.
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2012.3234
Subject(s) - cluster analysis , kernel (algebra) , computer science , kernel method , variable kernel density estimation , artificial intelligence , pattern recognition (psychology) , mathematics , data mining , support vector machine , discrete mathematics
Proposed is a novel clustering technique based on kernel methods. The geometric properties of normalised kernel spaces are exploited to automatically detect the correct number of clusters, thus avoiding the requirement of an initial estimate of this parameter, as required instead in many popular algorithms.
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