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» Accelerated EM-based clustering of large data sets
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DAGSTUHL
1997
13 years 9 months ago
InVIS - Interactive Visualization of Medical Data Sets
Interactive rendering of large data sets requires fast algorithms and rapid hardware acceleration. Both can be improved, but none of this ensures interactive response times. If a ...
Jörg Meyer, Steffen Gelder, Timna E. Schneide...
EUSFLAT
2009
163views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
A Fuzzy Set Approach to Ecological Knowledge Discovery
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
Arkadiusz Salski
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
14 years 8 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
DAGSTUHL
2009
13 years 9 months ago
Median Topographic Maps for Biomedical Data Sets
Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix on...
Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
CAINE
2009
13 years 5 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...