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ICPP
2000
IEEE
15 years 4 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
106
Voted
ACIVS
2008
Springer
15 years 2 months ago
Efficient and Flexible Cluster-and-Search for CBIR
Content-Based Image Retrieval is a challenging problem both in terms of effectiveness and efficiency. In this paper, we present a flexible cluster-and-search approach that is able ...
Anderson Rocha, Jurandy Almeida, Mario A. Nascimen...
HPCA
2009
IEEE
16 years 26 days ago
Design and evaluation of a hierarchical on-chip interconnect for next-generation CMPs
Performance and power consumption of an on-chip interconnect that forms the backbone of Chip Multiprocessors (CMPs), are directly influenced by the underlying network topology. Bo...
Reetuparna Das, Soumya Eachempati, Asit K. Mishra,...
EUC
2006
Springer
15 years 4 months ago
Distributed Proximity-Aware Peer Clustering in BitTorrent-Like Peer-to-Peer Networks
In this paper, we propose a hierarchical architecture for grouping peers into clusters in a large-scale BitTorrent-like underlying overlay network in such a way that clusters are e...
Bin Xiao, Jiadi Yu, Zili Shao, Minglu Li
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
15 years 4 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny