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» Evaluation of clustering algorithms for gene expression data
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KDD
2005
ACM
135views Data Mining» more  KDD 2005»
16 years 7 months ago
A hybrid unsupervised approach for document clustering
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Mihai Surdeanu, Jordi Turmo, Alicia Ageno
TPDS
2008
101views more  TPDS 2008»
15 years 6 months ago
An Energy-Oriented Evaluation of Buffer Cache Algorithms Using Parallel I/O Workloads
Power consumption is an important issue for cluster supercomputers as it directly affects running cost and cooling requirements. This paper investigates the memory energy efficienc...
Jianhui Yue, Yifeng Zhu, Zhao Cai
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
16 years 19 days ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
RECOMB
2003
Springer
16 years 7 months ago
Whole-genome comparative annotation and regulatory motif discovery in multiple yeast species
In [13] we reported the genome sequences of S. paradoxus, S. mikatae and S. bayanus and compared these three yeast species to their close relative, S. cerevisiae. Genome-wide comp...
Manolis Kamvysselis, Nick Patterson, Bruce Birren,...
AINA
2008
IEEE
15 years 8 months ago
A Communication-Efficient Distributed Clustering Algorithm for Sensor Networks
Sensor networks usually generate continuous stream of data over time. Clustering sensor data as a core task of mining sensor data plays an essential role in analytical application...
Amirhosein Taherkordi, Reza Mohammadi, Frank Elias...