MCExplorer: Interactive exploration of multiple (subspace) clustering solutions

Stephan Günnemann, Hardy Kremer, Ines Färber, Thomas Seidl

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Large amounts of data are ubiquitous today. Data mining methods like clustering were introduced to gain knowledge from these data. Recently, detection of multiple clusterings has become an active research area, where several alternative clustering solutions are generated for a single dataset. Each of the obtained clustering solutions is valid, of importance, and provides a different interpretation of the data. The key for knowledge extraction, however, is to learn how the different solutions are related to each other. This can be achieved by a comparison and analysis of the obtained clustering solutions. We introduce our demo MCExplorer1, the first tool that allows for interactive exploration, browsing, and visualization of multiple clustering solutions on several granularities. MCExplorer is applicable to the output of both fullspace and subspace clustering approaches.

Original languageEnglish
Title of host publicationProceedings - 10th IEEE International Conference on Data Mining Workshops, ICDMW 2010
Pages1387-1390
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
Event10th IEEE International Conference on Data Mining Workshops, ICDMW 2010 - Sydney, NSW, Australia
Duration: 14 Dec 201017 Dec 2010

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Conference

Conference10th IEEE International Conference on Data Mining Workshops, ICDMW 2010
Country/TerritoryAustralia
CitySydney, NSW
Period14/12/1017/12/10

Keywords

  • Alternative clusterings
  • Interactive exploration
  • Multi-view clustering
  • Multiple groupings
  • Subspace clustering

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