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» Data Clustering: A Review
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PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
16 years 5 days ago
Clustering Multi-represented Objects with Noise
Abstract. Traditional clustering algorithms are based on one representation space, usually a vector space. However, in a variety of modern applications, multiple representations ex...
Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin...
ICPR
2006
IEEE
16 years 8 months ago
The Twin Towers Cluster in Torah Codes
In this paper we describe a Torah Code experiment which: ? Focuses on a famous contemporary event. ? Has a simple and explicit data collection. ? Has considerably simpler measurem...
Eliyahu Rips, Art Levitt
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
16 years 7 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...
OSDI
2008
ACM
16 years 7 months ago
An Internet Protocol Address Clustering Algorithm
We pose partitioning a b-bit Internet Protocol (IP) address space as a supervised learning task. Given (IP, property) labeled training data, we develop an IP-specific clustering a...
Robert Beverly, Karen R. Sollins
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
16 years 1 months 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