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» On the Comparability of Software Clustering Algorithms
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ASPDAC
2004
ACM
129views Hardware» more  ASPDAC 2004»
14 years 1 months ago
Instruction buffering exploration for low energy VLIWs with instruction clusters
— For multimedia applications, loop buffering is an efficient mechanism to reduce the power in the instruction memory of embedded processors. In particular, software controlled ...
Tom Vander Aa, Murali Jayapala, Francisco Barat, G...
SIGIR
2009
ACM
14 years 2 months ago
A comparison of retrieval-based hierarchical clustering approaches to person name disambiguation
This paper describes a simple clustering approach to person name disambiguation of retrieved documents. The methods are based on standard IR concepts and do not require any task-s...
Christof Monz, Wouter Weerkamp
CORR
2007
Springer
129views Education» more  CORR 2007»
13 years 7 months ago
A Tutorial on Spectral Clustering
In recent years, spectral clustering has become one of the most popular modern clustering algorithms. It is simple to implement, can be solved efficiently by standard linear algeb...
Ulrike von Luxburg
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 2 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
ICPR
2008
IEEE
14 years 2 months ago
Unsupervised clustering using hyperclique pattern constraints
A novel unsupervised clustering algorithm called Hyperclique Pattern-KMEANS (HP-KMEANS) is presented. Considering recent success in semisupervised clustering using pair-wise const...
Yuchou Chang, Dah-Jye Lee, James K. Archibald, Yi ...