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» A practical comparison of two K-Means clustering algorithms
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CGF
1999
79views more  CGF 1999»
14 years 9 months ago
A Practical Analysis of Clustering Strategies for Hierarchical Radiosity
The calculation of radiant energy balance in complex scenes has been made possible by hierarchical radiosity methods based on clustering mechanisms. Although clustering offers an ...
Jean-Marc Hasenfratz, Cyrille Damez, Franço...
JNCA
2008
86views more  JNCA 2008»
14 years 9 months ago
Performance comparisons of load balancing algorithms for I/O-intensive workloads on clusters
Load balancing techniques play a critically important role in developing high-performance cluster computing platforms. Existing load balancing approaches are concerned with the ef...
Xiao Qin
ICPR
2002
IEEE
15 years 2 months ago
A Comparison of Techniques for Automatic Clustering of Handwritten Characters
This work reports experiments with four hierarchical clustering algorithms and two clustering indices for online handwritten characters. The main motivation of the work is to deve...
Vuokko Vuori, Jorma Laaksonen
EDBT
2004
ACM
142views Database» more  EDBT 2004»
15 years 9 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
PKDD
2001
Springer
114views Data Mining» more  PKDD 2001»
15 years 1 months ago
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang