106 search results - page 12 / 22 » Document Representation and Dimension Reduction for Text Clu... |
CIRA
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
The dimensionality reduction problem has been widely studied in the database literature because of its application for concise data representation in a variety of database applica...
CICLING
2005
Springer
14 years 1 months ago
2005
Springer
This paper describes a supervised three-tier clustering method for classifying students’ essays of qualitative physics in the Why2-Atlas tutoring system. Our main purpose of cate...