1836 search results - page 1 / 368 » Mining Clustering Dimensions |
KDD
2000
ACM
13 years 8 months ago
2000
ACM
KDD
2005
ACM
14 years 5 months ago
2005
ACM
ICML
2010
IEEE
13 years 2 months ago
2010
IEEE
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...
ICDE
2007
IEEE
14 years 6 months ago
2007
IEEE
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
ICDM
2002
IEEE
13 years 9 months ago
2002
IEEE
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...