1836 search results - page 146 / 368 » Mining Clustering Dimensions |
CSDA
2010
15 years 2 months ago
2010
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
156
click to vote
MLDM
2010
Springer
14 years 8 months ago
2010
Springer
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
140
click to vote
KDD
2007
ACM
16 years 2 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
141
click to vote
KDD
2003
ACM
16 years 2 months ago
2003
ACM
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
132
click to vote
IPPS
2010
IEEE
14 years 11 months ago
2010
IEEE
MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop