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JDCTA
2010
152views more  JDCTA 2010»
14 years 4 months ago
Spatial Clustering Algorithm Based on Hierarchical-Partition Tree
In spatial clustering, the scale of spatial data is usually very large. Spatial clustering algorithms need high performance, good scalability, and are able to deal with noise and ...
Zhongzhi Li, Xuegang Wang
TKDE
2008
175views more  TKDE 2008»
14 years 9 months ago
Efficient Phrase-Based Document Similarity for Clustering
Phrase has been considered as a more informative feature term for improving the effectiveness of document clustering. In this paper, we propose a phrase-based document similarity t...
Hung Chim, Xiaotie Deng
ISNN
2004
Springer
15 years 3 months ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
IPCV
2008
14 years 11 months ago
Hierarchical Minimum Spanning Trees for Lossy Image Set Compression
Minimum spanning tree algorithms have been proposed for the lossy compression of image sets. In these algorithms, a complete graph is constructed from the entire image set and an ...
Anthony Schmieder, Howard Cheng, Barry Gergel, Xia...
HPCC
2005
Springer
15 years 3 months ago
A Coarse Grained Parallel Algorithm for Closest Larger Ancestors in Trees with Applications to Single Link Clustering
Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
Albert Chan, Chunmei Gao, Andrew Rau-Chaplin