504 search results - page 23 / 101 » Clustering Item Data Sets with Association-Taxonomy Similari... |
PR
2000
13 years 8 months ago
2000
A genetic algorithm-based clustering technique, called GA-clustering, is proposed in this article. The searching capability of genetic algorithms is exploited in order to search f...
WG
2010
Springer
13 years 6 months ago
2010
Springer
Cluster Editing is a classical graph theoretic approach to tackle the problem of data set clustering: it consists of modifying a similarity graph into a disjoint union of cliques,...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...
DAGSTUHL
2007
13 years 10 months ago
2007
Abstract. Increasingly large multimedia databases in life sciences, ecommerce, or monitoring applications cannot be browsed manually, but require automatic knowledge discovery in d...
IIS
2004
13 years 9 months ago
2004
Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search hits list, returned from a search engine. In this paper we present t...