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» Optimal Fuzzy Clustering in Overlapping Clusters
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PRL
1998
132views more  PRL 1998»
13 years 7 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
ICDE
2012
IEEE
252views Database» more  ICDE 2012»
11 years 10 months ago
Fuzzy Joins Using MapReduce
—Fuzzy/similarity joins have been widely studied in the research community and extensively used in real-world applications. This paper proposes and evaluates several algorithms f...
Foto N. Afrati, Anish Das Sarma, David Menestrina,...
CF
2007
ACM
13 years 11 months ago
An analysis of the effects of miss clustering on the cost of a cache miss
In this paper we describe a new technique, called pipeline spectroscopy, and use it to measure the cost of each cache miss. The cost of a miss is displayed (graphed) as a histogra...
Thomas R. Puzak, Allan Hartstein, Philip G. Emma, ...
APBC
2004
13 years 9 months ago
Mega Weaver: A Simple Iterative Approach for BAC Consensus Assembly
Hierarchical genome assembly can be divided into three distinct stages: sequencing and assembling shotgun reads for each of a series of selected BAC clones; assembling the resulti...
Daolong Wang, Mario Lauria, Bo Yuan, Fred A. Wrigh...
BMCBI
2006
119views more  BMCBI 2006»
13 years 7 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs