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 [BibTeX] [Marc21]
Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data (PDD) Clustering
Type of publication: Idiap-RR
Citation: lapidot-rr02-48
Number: Idiap-RR-48-2002
Year: 2002
Institution: IDIAP and Ben-Gurion University of the Negev, Israel
Address: Martigny, Switzerland
Note: accepted for publication in IEEE Signal Processing Letters
Abstract: In many signal such speech, bio-signals, protein chains, etc. there is a dependency between consecutive vectors. As the dependency is limited in duration such data can be called as Piecewise-Dependent- Data (PDD). In clustering it is frequently needed to minimize a given distance function. In this paper we will show that in PDD clustering there is a contradiction between the desire for high resolution (short segments and low distance) and high accuracy (long segments and high distortion,',','), i.e. meaningful clustering.
Userfields: ipdinar={2002}, ipdmembership={speech}, language={English},
Projects Idiap
Authors Lapidot, I.
Guterman, H.
Crossref by lapidot-rr-02-48b
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Total mark: 0
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