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SDM
2003
SIAM
134views Data Mining» more  SDM 2003»
15 years 8 months ago
Hierarchical Document Clustering using Frequent Itemsets
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
Benjamin C. M. Fung, Ke Wang, Martin Ester
JMLR
2006
96views more  JMLR 2006»
15 years 6 months ago
Rearrangement Clustering: Pitfalls, Remedies, and Applications
Given a matrix of values in which the rows correspond to objects and the columns correspond to features of the objects, rearrangement clustering is the problem of rearranging the ...
Sharlee Climer, Weixiong Zhang
WWW
2008
ACM
15 years 6 months ago
A Novelty-based Clustering Method for On-line Documents
In this paper, we describe a document clustering method called noveltybased document clustering. This method clusters documents based on similarity and novelty. The method assigns...
Sophoin Khy, Yoshiharu Ishikawa, Hiroyuki Kitagawa
ICTAI
2006
IEEE
16 years 19 days ago
On the Relationships between Clustering and Spatial Co-location Pattern Mining
The goal of spatial co-location pattern mining is to find subsets of spatial features frequently located together in spatial proximity. Example co-location patterns include servi...
Yan Huang, Pusheng Zhang
ICMCS
2005
IEEE
132views Multimedia» more  ICMCS 2005»
16 years 6 days ago
Approximating the selectivity of multimedia range queries
This paper introduces a new approach of approximating the selectivity of multimedia range queries. Estimating the selectivity of a range query is a pre-requisite to optimize a mul...
Mario Döller, Harald Kosch