560 search results - page 6 / 112 » Text Clustering with Feature Selection by Using Statistical ... |
ESANN
2006
13 years 8 months ago
2006
The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
CORR
2007
Springer
13 years 7 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...
ICML
1997
IEEE
13 years 11 months ago
1997
IEEE
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
DMIN
2006
13 years 8 months ago
2006
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...