504 search results - page 3 / 101 » Clustering Item Data Sets with Association-Taxonomy Similari... |
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ADBIS
2007
Springer
15 years 3 months ago
2007
Springer
The method of self-organizing maps (SOM) is a method of exploratory data analysis used for clustering and projecting multi-dimensional data into a lower-dimensional space to reveal...
72
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WWW
2005
ACM
15 years 10 months ago
2005
ACM
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
WISE
2009
Springer
15 years 6 months ago
2009
Springer
Social tagging is an increasingly popular phenomenon with substantial impact on the way we perceive and understand the Web. For the many Web resources that are not self-descriptive...
BMCBI
2008
14 years 9 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...