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» Optimal Fuzzy Clustering in Overlapping Clusters
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PRL
1998
132views more  PRL 1998»
14 years 9 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
92
Voted
ICDE
2012
IEEE
252views Database» more  ICDE 2012»
12 years 12 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
15 years 1 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
14 years 11 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»
14 years 9 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