53 search results - page 5 / 11 » Incremental hierarchical clustering of text documents |
AH
2008
Springer
14 years 2 months ago
2008
Springer
In order to navigate huge document collections efficiently, tagged hierarchical structures can be used. For users, it is important to correctly interpret tag combinations. In this ...
ICDM
2002
IEEE
14 years 18 days ago
2002
IEEE
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Text documents have sparse data spaces, and nearest neighbors may belong to different classes when using current existing proximity measures to describe the correlation ...
DEXAW
2007
IEEE
13 years 11 months ago
2007
IEEE
We built a system for the automatic creation of a textbased topic hierarchy, meant to be used in a geographically defined community. This poses two main problems. First, the appea...
AI
2008
Springer
13 years 9 months ago
2008
Springer
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...