FLAIRS
2001
13 years 6 months ago
2001
As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
IADIS
2004
13 years 6 months ago
2004
In this paper we present our technique for finding semantically similar clusters within web documents obtained from a set of queries retrieved from the Google search engine. This ...
ECIR
2006
Springer
13 years 6 months ago
2006
Springer
Abstract. We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual ...
EACL
2006
ACL Anthology
13 years 6 months ago
2006
ACL Anthology
This paper discusses two problems that arise in the Generation of Referring Expressions: (a) numeric-valued attributes, such as size or location; (b) perspective-taking in referen...
DMIN
2006
13 years 6 months ago
2006
Common document clustering algorithms utilize models that either divide a corpus into smaller clusters or gather individual documents into clusters. Hierarchical Agglomerative Clus...
EWIMT
2004
13 years 6 months ago
2004
The identification of categories in image databases usually relies on clustering algorithms that only exploit the feature-based similarities between images. The addition of semant...
DAGSTUHL
2004
13 years 6 months ago
2004
Abstract. The starting point of this work is the definition of local pattern detection given in [10] as the unsupervised detection of local regions with anomalously high data densi...
BIOCOMP
2006
13 years 6 months ago
2006
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
APBC
2004
13 years 6 months ago
2004
Huge amount of gene expression data have been generated as a result of the human genomic project. Clustering has been used extensively in mining these gene expression data to find...
AAAI
2006
13 years 6 months ago
2006
Several researchers have illustrated that constraints can improve the results of a variety of clustering algorithms. However, there can be a large variation in this improvement, e...