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» Data Clustering: A Review
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PVLDB
2010
146views more  PVLDB 2010»
15 years 1 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
BMCBI
2006
90views more  BMCBI 2006»
15 years 6 months ago
Dissecting trait heterogeneity: a comparison of three clustering methods applied to genotypic data
Background: Trait heterogeneity, which exists when a trait has been defined with insufficient specificity such that it is actually two or more distinct traits, has been implicated...
Tricia A. Thornton-Wells, Jason H. Moore, Jonathan...
IDA
2007
Springer
15 years 6 months ago
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data
: DNA micro-arrays provide thousands of genomic expressions on the same subject. A main issue is then to find the subset of genes whose degeneration is responsible of a certain typ...
Simone Garatti, Sergio Bittanti, Diego Liberati, A...
NIPS
2008
15 years 8 months ago
Measures of Clustering Quality: A Working Set of Axioms for Clustering
Aiming towards the development of a general clustering theory, we discuss abstract axiomatization for clustering. In this respect, we follow up on the work of Kleinberg, ([1]) tha...
Shai Ben-David, Margareta Ackerman
RIAO
2007
15 years 8 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss