%Aigaion2 BibTeX export from Idiap Publications %Friday 13 December 2024 04:56:08 PM @ARTICLE{lapidot-rr-02-48b, author = {Lapidot, I. and Guterman, H.}, projects = {Idiap}, title = {Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data ({PDD}) Clustering}, journal = {to be published in IEEE Signal Processing Letters}, year = {2003}, note = {IDIAP-RR 02-48}, crossref = {lapidot-rr02-48}, 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.}, pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-48.pdf}, postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-48.ps.gz}, ipdmembership={speech}, language={English}, } crossreferenced publications: @TECHREPORT{lapidot-rr02-48, author = {Lapidot, I. and Guterman, H.}, projects = {Idiap}, title = {Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data ({PDD}) Clustering}, type = {Idiap-RR}, 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.}, pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-48.pdf}, postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-48.ps.gz}, ipdinar={2002}, ipdmembership={speech}, language={English}, }