5603 search results - page 60 / 1121 » Feature Selection for Clustering |
KDD
2006
ACM
14 years 10 months ago
2006
ACM
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
IJCAI
2007
13 years 11 months ago
2007
Feature interaction presents a challenge to feature selection for classification. A feature by itself may have little correlation with the target concept, but when it is combined...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
MM
2006
ACM
14 years 4 months ago
2006
ACM
Precise automated video search is gaining in importance as the amount of multimedia information is increasing at exponential rates. One of the drawbacks that make video retrieval ...