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DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 5 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
QSIC
2005
IEEE
15 years 7 months ago
Stochastic Voting Algorithms for Web Services Group Testing
This paper proposes a stochastic voting for testing a large number of Web Services (WS) under group testing. In the future, a large number of WS will be available and they need to...
Wei-Tek Tsai, Dawei Zhang, Raymond A. Paul, Yinong...
ICPR
2004
IEEE
16 years 2 months ago
Pose Clustering Guided by Short Interpretation Trees
It is common in object recognition algorithms based on viewpoint consistency to find object poses that align many of the object features with features extracted from a search imag...
Clark F. Olson
ISICA
2007
Springer
15 years 7 months ago
Parameter Setting for Evolutionary Latent Class Clustering
The latent class model or multivariate multinomial mixture is a powerful model for clustering discrete data. This model is expected to be useful to represent non-homogeneous popula...
Damien Tessier, Marc Schoenauer, Christophe Bierna...
SUTC
2008
IEEE
15 years 8 months ago
Training Data Compression Algorithms and Reliability in Large Wireless Sensor Networks
With the availability of low-cost sensor nodes there have been many standards developed to integrate and network these nodes to form a reliable network allowing many different typ...
Vasanth Iyer, Rammurthy Garimella, M. B. Srinivas