47 search results - page 1 / 10 » Cross-Instance Tuning of Unsupervised Document Clustering Al... |
NAACL
2007
13 years 6 months ago
2007
KDD
2005
ACM
14 years 5 months ago
2005
ACM
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
SIGIR
2002
ACM
13 years 4 months ago
2002
ACM
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
CIKM
2000
Springer
13 years 9 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...
ICDAR
2003
IEEE
13 years 10 months ago
2003
IEEE
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...