177 search results - page 6 / 36 » Categorization using semi-supervised clustering |
PAKDD
2001
ACM
13 years 12 months ago
2001
ACM
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
CIMCA
2005
IEEE
14 years 1 months ago
2005
IEEE
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
KDD
1999
ACM
13 years 11 months ago
1999
ACM
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
ESANN
2007
13 years 9 months ago
2007
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
DMKD
1997
ACM
13 years 11 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...