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» Landscape of Clustering Algorithms
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PVLDB
2008
107views more  PVLDB 2008»
15 years 4 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
ICPR
2002
IEEE
16 years 7 months ago
Fast Hierarchical Clustering Based on Compressed Data
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Erendira Rendon, Ricardo Barandela
COCOON
2010
Springer
15 years 11 months ago
Clustering with or without the Approximation
We study algorithms for clustering data that were recently proposed by Balcan, Blum and Gupta in SODA’09 [4] and that have already given rise to two follow-up papers. The input f...
Frans Schalekamp, Michael Yu, Anke van Zuylen
SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
15 years 7 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
IPPS
1999
IEEE
15 years 10 months ago
All-to-All Broadcast on Switch-Based Clusters of Workstations
This paper presents efficient all-to-all broadcast algorithms for arbitrary irregular networks with switch-based wormhole interconnection and unicast message passing. First, all-t...
Matthew G. Jacunski, P. Sadayappan, Dhabaleswar K....