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» Measuring the Quality of Approximated Clusterings
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110
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ICDM
2002
IEEE
122views Data Mining» more  ICDM 2002»
15 years 6 months ago
Using Category-Based Adherence to Cluster Market-Basket Data
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
EUROGRAPHICS
2010
Eurographics
15 years 9 months ago
Interactive High-Quality Visualization of Higher-Order Finite Elements
Higher-order finite element methods have emerged as an important discretization scheme for simulation. They are increasingly used in contemporary numerical solvers, generating a ...
Markus Üffinger, Steffen Frey, Thomas Ertl
INFOCOM
2010
IEEE
15 years 10 days ago
Metrics for Evaluating Video Streaming Quality in Lossy IEEE 802.11 Wireless Networks
—Peak Signal-to-Noise Ratio (PSNR) is the simplest and the most widely used video quality evaluation methodology. However, traditional PSNR calculations do not take the packet lo...
An Chan, Kai Zeng, Prasant Mohapatra, Sung-Ju Lee,...
144
Voted
UAI
2003
15 years 3 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
ICPR
2008
IEEE
15 years 8 months ago
A new multiobjective simulated annealing based clustering technique using stability and symmetry
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
Sriparna Saha, Sanghamitra Bandyopadhyay