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126
Voted
CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
123
Voted
ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Permutation ambiguity is an inherent limitation in independent component analysis, which is a bottleneck in frequency-domain methods of convolutive source separation. In this pape...
107
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
117
Voted
NCA
2007
IEEE
15 years 10 months ago
2007
IEEE
In this paper we present clustering analysis of sessionbased Web workloads of eight Web servers using the intrasession characteristics (i.e., number of requests per session, sessi...
110
click to vote
ACIVS
2006
Springer
15 years 9 months ago
2006
Springer
In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the best known and most used method. Although FCM is a very useful method, it is sensitive to noise and outliers so that W...