1400 search results - page 14 / 280 » Bayesian hierarchical clustering |
ECIR
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. A major problem encountered by text clustering practitioners is the difficulty of determining a priori which is the optimal text representation and clustering technique f...
AI
2006
Springer
13 years 7 months ago
2006
Springer
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
BMCBI
2004
13 years 7 months ago
2004
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
CIARP
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
CSIE
2009
IEEE
14 years 2 months ago
2009
IEEE
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...