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PR
2008
169views more  PR 2008»
13 years 9 months ago
A survey of kernel and spectral methods for clustering
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
Maurizio Filippone, Francesco Camastra, Francesco ...
DMIN
2008
152views Data Mining» more  DMIN 2008»
13 years 11 months ago
PCS: An Efficient Clustering Method for High-Dimensional Data
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
Wei Li 0011, Cindy Chen, Jie Wang
APVIS
2006
13 years 11 months ago
Method for drawing intersecting clustered graphs and its application to web ontology language
We introduce a class of graphs called an intersecting clustered graph that is a clustered graph with intersections among clusters. We propose a novel method for nicely drawing the...
Hiroki Omote, Kozo Sugiyama
ECEASST
2010
13 years 7 months ago
Self Organized Swarms for cluster preserving Projections of high-dimensional Data
: A new approach for topographic mapping, called Swarm-Organized Projection (SOP) is presented. SOP has been inspired by swarm intelligence methods for clustering and is similar to...
Alfred Ultsch, Lutz Herrmann
VMCAI
2012
Springer
12 years 5 months ago
Sound Non-statistical Clustering of Static Analysis Alarms
We present a sound method for clustering alarms from static analyzers. Our method clusters alarms by discovering sound dependencies between them such that if the dominant alarm of ...
Woosuk Lee, Wonchan Lee, Kwangkeun Yi