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SIGIR
2003
ACM
15 years 11 months ago
An information-theoretic measure for document similarity
Recent work has demonstrated that the assessment of pairwise object similarity can be approached in an axiomatic manner using information theory. We extend this concept specifica...
Javed A. Aslam, Meredith Frost
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
16 years 6 months ago
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets
We present a novel algorithm called Clicks, that finds clusters in categorical datasets based on a search for k-partite maximal cliques. Unlike previous methods, Clicks mines subs...
Mohammed Javeed Zaki, Markus Peters, Ira Assent, T...
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
16 years 24 days ago
Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering
Most research on Internet topology is based on active measurement methods. A major difficulty in using these tools is that one comes across many unresponsive routers. Different m...
Anat Almog, Jacob Goldberger, Yuval Shavitt
ICPR
2008
IEEE
16 years 24 days ago
Kernel Bisecting k-means clustering for SVM training sample reduction
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
Xiao-Zhang Liu, Guo-Can Feng
GD
1999
Springer
15 years 10 months ago
Planarity-Preserving Clustering and Embedding for Large Planar Graphs
In this paper we present a novel approach for cluster-based drawing of large planar graphs that maintains planarity. Our technique works for arbitrary planar graphs and produces a ...
Christian A. Duncan, Michael T. Goodrich, Stephen ...