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ICONIP
2008
15 years 7 months ago
Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity
In this paper we present a comparison of multiple cluster algorithms and their suitability for clustering text data. The clustering is based on similarities only, employing the Kol...
Tina Geweniger, Frank-Michael Schleif, Alexander H...
ICML
2004
IEEE
16 years 7 months ago
Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
DAGSTUHL
1997
15 years 7 months ago
Ray-Based Data Level Comparisons of Direct Volume Rendering Algorithms
This paper describes and demonstrates the e ectiveness of several metrics for data level comparison of direct volume rendering (DVR) algorithms. The focus is not on speed ups from...
Kwansik Kim, Alex Pang
BMCBI
2008
142views more  BMCBI 2008»
15 years 6 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
ICPP
1993
IEEE
15 years 10 months ago
Data-Parallel R-Tree Algorithms
Abstract Data-parallel algorithms for R-trees, a common spatial data structure are presented, in the domain of planar line segment data e.g., Bureau of the Census TIGER Line les....
Erik G. Hoel, Hanan Samet