1839 search results - page 270 / 368 » Feature Selection in Clustering Problems |
COMPGEOM
2009
ACM
14 years 2 months ago
2009
ACM
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
DIAGRAMS
2004
Springer
14 years 3 months ago
2004
Springer
The need for Bayesian inference arises in military intelligence, medical diagnosis and many other practical applications. The problem is that human inferences are generally conserv...
CLEF
2008
Springer
13 years 12 months ago
2008
Springer
The VideoCLEF track, introduced in 2008, aims to develop and evaluate tasks related to analysis of and access to multilingual multimedia content. In its first year, VideoCLEF pilo...
ANLP
1994
13 years 11 months ago
1994
The authors propose a model for analyzing English sentences including coordinate conjunctions such as "and","or","but" and the equivalent words. Synt...