32 search results - page 4 / 7 » Hierarchical Density-Based Clustering of Categorical Data an... |
PAKDD
2010
ACM
14 years 8 days ago
2010
ACM
Abstract. Despite of the wide diversity of web-pages, web-pages residing in a particular organization, in most cases, are organized with semantically hierarchic structures. For exa...
BMCBI
2008
13 years 7 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
KES
2004
Springer
14 years 26 days ago
2004
Springer
– This paper describes a text categorization approach that is based on a combination of a newly designed text representation with a kNN classifier. The new text document represen...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
WSOM
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. This paper is devoted to the analysis of career paths and employability. The state-of-the-art on this topic is rather poor in methodologies. Some authors propose distance...