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» High Performance Clustering Based on the Similarity Join
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KDD
2004
ACM
132views Data Mining» more  KDD 2004»
15 years 10 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
WWW
2008
ACM
14 years 9 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
SIGIR
2011
ACM
14 years 19 days ago
Cluster-based fusion of retrieved lists
Methods for fusing document lists that were retrieved in response to a query often use retrieval scores (or ranks) of documents in the lists. We present a novel probabilistic fusi...
Anna Khudyak Kozorovitzky, Oren Kurland
IWEC
2007
14 years 11 months ago
A Survey on Projector-Based PC Clustered Distributed-Rendering Large Screen Displays and Techniques
Large screen display systems are common display systems nowadays. Especially projector-based PC cluster large screen display systems share most of large screen display system marke...
Munjae Song, Seongwon Park
ISPASS
2005
IEEE
15 years 3 months ago
Measuring Program Similarity: Experiments with SPEC CPU Benchmark Suites
Performance evaluation using only a subset of programs from a benchmark suite is commonplace in computer architecture research. This is especially true during early design space e...
Aashish Phansalkar, Ajay Joshi, Lieven Eeckhout, L...