2596 search results - page 67 / 520 » Classes and clusters in data analysis |
CORR
2007
Springer
14 years 10 months ago
2007
Springer
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
100
click to vote
MSWIM
2006
ACM
15 years 3 months ago
2006
ACM
A neural network based clustering method for the analysis of soft handovers in 3G network is introduced. The method is highly visual and it could be utilized in explorative analys...
ERCIMDL
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Digital Library support for textual and certain types of nontextual documents has significantly advanced over the last years. While Digital Library support implies many a...
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
KDD
2010
ACM
14 years 12 months ago
2010
ACM
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...