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CLASSIFICATION
2010
13 years 1 months ago
Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads
: The issue of determining "the right number of clusters" in K-Means has attracted considerable interest, especially in the recent years. Cluster intermix appears to be a...
Mark Ming-Tso Chiang, Boris Mirkin
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 4 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
FPGA
2000
ACM
161views FPGA» more  FPGA 2000»
13 years 8 months ago
The effect of LUT and cluster size on deep-submicron FPGA performance and density
In this paper we revisit the FPGA architectural issue of the effect of logic block functionality on FPGA performance and density. In particular, in the context of lookup table, cl...
Elias Ahmed, Jonathan Rose
AI
2010
Springer
13 years 4 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
ICPR
2008
IEEE
13 years 10 months ago
FCM-based orientation selection for competitive coding-based palmprint recognition
Coding based methods are among the most promising palmprint recognition methods. As one representative coding method, the competitive code first convolves the palmprint image with...
Feng Yue, Wangmeng Zuo, Kuanquan Wang, David Zhang