280 search results - page 8 / 56 » A Semi-Supervised Document Clustering Algorithm Based on EM |
PKDD
2005
Springer
14 years 6 days ago
2005
Springer
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
ICTAI
2006
IEEE
14 years 22 days ago
2006
IEEE
We propose two Euclidean minimum spanning tree based clustering algorithms — one a k-constrained, and the other an unconstrained algorithm. Our k-constrained clustering algorith...
SIGIR
2003
ACM
13 years 12 months ago
2003
ACM
In this paper, we propose a novel document clustering method based on the non-negative factorization of the termdocument matrix of the given document corpus. In the latent semanti...
ICDM
2006
IEEE
14 years 23 days ago
2006
IEEE
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
CIKM
2008
Springer
13 years 8 months ago
2008
Springer
Document understanding techniques such as document clustering and multi-document summarization have been receiving much attention in recent years. Current document clustering meth...