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ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
14 years 4 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
SISAP
2008
IEEE
175views Data Mining» more  SISAP 2008»
14 years 4 months ago
Anytime K-Nearest Neighbor Search for Database Applications
Many contemporary database applications require similarity-based retrieval of complex objects where the only usable knowledge of its domain is determined by a metric distance func...
Weijia Xu, Daniel P. Miranker, Rui Mao, Smriti R. ...
CEC
2007
IEEE
14 years 4 months ago
On some symmetry based validity indices
—Identification of the correct number of clusters and the corresponding partitioning are two important considerations in clustering. In this paper, a newly developed point symme...
Sriparna Saha, Sanghamitra Bandyopadhyay
FOSSACS
2007
Springer
14 years 4 months ago
Approximating a Behavioural Pseudometric Without Discount for Probabilistic Systems
Desharnais, Gupta, Jagadeesan and Panangaden introduced a family of behavioural pseudometrics for probabilistic transition systems. These pseudometrics are a quantitative analogue ...
Franck van Breugel, Babita Sharma, James Worrell
CCECE
2006
IEEE
14 years 4 months ago
Person Identification using Electrocardiograms
In this paper, the authors present an evaluation of a new biometric based on electrocardiogram (ECG) waveforms. ECG data were collected from 50 subjects during 3 data recordings s...
Adrian D. C. Chan, Mohyledin M. Hamdy, Armin Badre...