Data clustering: a review

by: AK Jain, MN Murty, PJ Flynn

ACM Computing Surveys, Vol. 31, No. 3. (1999), pp. 264-323.

View FullText article

CiteSeer (at Penn State), CiteSeer (at MIT), CiteSeer (at Zurich), CiteSeer (at Singapore)

Reviews [Write a review of this article]

There are no reviews of this article

Find related articles from these CiteULike users

jmenche, doitian, radical, V, pdlug, stanley, jelsas, sona, gangli, macowell, mhaller, ali, grimm, numata, carueda, microserf, rahul, aviad_work, rchauhan, sugarexpletive, anirudhvr, stewi2, MortMan, nklee, tulip (group), SRL (group), BUiGEM (group), shinichi3, burtonwu

Find related articles with these CiteULike tags

algorithm, classification, cluster_analysis, clustering, computingsurveys, cs276b, data, data_mining, information, microarray, misc, no-tag, retrieval, review, search, survey, survey-article, toread, unsupervised

Abstract

This paper presents an overview of pattern clustering methods from a statistical pattern recognition perspective, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners. We present a taxonomy of clustering techniques, and identify cross-cutting themes and recent advances. We also describe some important applications of clustering algorithms such as image segmentation, object recognition, and information...

@article{citeulike:3561, abstract = {This paper presents an overview of pattern clustering methods from a statistical pattern recognition perspective, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners. We present a taxonomy of clustering techniques, and identify cross-cutting themes and recent advances. We also describe some important applications of clustering algorithms such as image segmentation, object recognition, and information...}, author = {Jain, A. K. and Murty, M. N. and Flynn, P. J. }, citeulike-article-id = {3561}, journal = {ACM Computing Surveys}, keywords = {clustering, search}, number = {3}, pages = {264--323}, posted-at = {2005-06-08 03:49:25}, priority = {2}, title = {Data clustering: a review}, url = {http://citeseer.ist.psu.edu/jain99data.html}, volume = {31}, year = {1999} }

RIS record

TY - JOUR ID - citeulike:3561 L3 - citeulike-article-id:3561 TI - Data clustering: a review JF - ACM Computing Surveys VL - 31 IS - 3 SP - 264 EP - 323 N2 - This paper presents an overview of pattern clustering methods from a statistical pattern recognition perspective, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners. We present a taxonomy of clustering techniques, and identify cross-cutting themes and recent advances. We also describe some important applications of clustering algorithms such as image segmentation, object recognition, and information... KW - clustering KW - search AU - Jain, AK AU - Murty, MN AU - Flynn, PJ PY - 1999/// UR - http://citeseer.ist.psu.edu/jain99data.html ER -

RIS BibTeX