177 search results - page 2 / 36 » Categorization using semi-supervised clustering |
CIKM
2000
Springer
13 years 10 months ago
2000
Springer
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
ADBIS
2007
Springer
14 years 13 days ago
2007
Springer
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
ICDM
2009
IEEE
13 years 4 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...
CIDU
2010
13 years 4 months ago
2010
There has been a lot of research targeting text classification. Many of them focus on a particular characteristic of text data - multi-labelity. This arises due to the fact that a ...
SDM
2004
SIAM
13 years 7 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...