TY - GEN
T1 - MCExplorer
T2 - 10th IEEE International Conference on Data Mining Workshops, ICDMW 2010
AU - Günnemann, Stephan
AU - Kremer, Hardy
AU - Färber, Ines
AU - Seidl, Thomas
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Alternative clusterings
KW - Interactive exploration
KW - Multi-view clustering
KW - Multiple groupings
KW - Subspace clustering
UR - http://www.scopus.com/inward/record.url?scp=79951758059&partnerID=8YFLogxK
U2 - 10.1109/ICDMW.2010.29
DO - 10.1109/ICDMW.2010.29
M3 - Conference contribution
AN - SCOPUS:79951758059
SN - 9780769542577
T3 - Proceedings - IEEE International Conference on Data Mining, ICDM
SP - 1387
EP - 1390
BT - Proceedings - 10th IEEE International Conference on Data Mining Workshops, ICDMW 2010
Y2 - 14 December 2010 through 17 December 2010
ER -