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» A practical comparison of two K-Means clustering algorithms
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ENGL
2007
101views more  ENGL 2007»
14 years 9 months ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan
PAKDD
2011
ACM
419views Data Mining» more  PAKDD 2011»
14 years 9 days ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi
DAC
2001
ACM
15 years 10 months ago
Chaff: Engineering an Efficient SAT Solver
Boolean Satisfiability is probably the most studied of combinatorial optimization/search problems. Significant effort has been devoted to trying to provide practical solutions to ...
Matthew W. Moskewicz, Conor F. Madigan, Ying Zhao,...
CORR
2010
Springer
141views Education» more  CORR 2010»
14 years 9 months ago
Full vectoring optimal power allocation in xDSL channels under per-modem power constraints and spectral mask constraints
In xDSL systems, crosstalk can be separated into two categories, namely in-domain crosstalk and out-of-domain crosstalk. Indomain crosstalk is also refered to as self crosstalk. Ou...
Vincent Le Nir, Marc Moonen, Jan Verlinden, Mamoun...
CORR
2010
Springer
149views Education» more  CORR 2010»
14 years 6 months ago
Constructions of Optical Queues With a Limited Number of Recirculations--Part II: Optimal Constructions
One of the main problems in all-optical packet-switched networks is the lack of optical buffers, and one feasible technology for the constructions of optical buffers is to use opt...
Xuan-Chao Huang, Jay Cheng