5603 search results - page 48 / 1121 » Feature Selection for Clustering |
WILF
2007
Springer
14 years 4 months ago
2007
Springer
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
CIS
2005
Springer
14 years 3 months ago
2005
Springer
Computational intelligence has figured prominently in many solutions to the network intrusion detection problem since the 1990s. This prominence and popularity has continued in the...
APWEB
2010
Springer
13 years 10 months ago
2010
Springer
Binary semantic relation extraction is particularly useful for various NLP and Web applications. Currently Webbased methods and Linguistic-based methods are two types of leading me...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...