Method and device for detecting clusters amongst data...

Data processing: artificial intelligence – Neural network

Reexamination Certificate

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Reexamination Certificate

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07949620

ABSTRACT:
After initial clusters having only one component are formed, a conditional probability P(Ci|C′k) is determined for the cluster Ci being included in an order on condition that cluster C′k is included in the order. If P(Ci|C′k) is greater than a first threshold value S1,a new cluster Cn having all the components of clusters Ci, C′k is formed and the operations are repeated until no new clusters are formed.

REFERENCES:
patent: 2003/0009467 (2003-01-01), Perrizo
Gary, B. and Orlowska, M. “CCAIIA: Clustering Categorical Attributes into Interesting Association Rules”, Pacific-Asia Conference on Knowledge Discovery and Data Mining, 1998, pp. 132-143.
Giuffrida, G., Cooper, L. and Chu, W. “A Scalable Bottom-Up Data Mining Algorithm for Relational Databases”, Proc. Scientific and Statistical Database Management,1998, pp. 206-209.
A. Hyvärinen et al.; “Independent Component Analysis”, Independent Component Analysis, Wiley Interscience, 2001, pp. 1-7.
P. Andritsos et al., “LIMBO: A Scalable Algorithm to Cluster Categorical Data”, CSRG Technical Report 467, University of Toronto, Dept. of Computer Science, 2003, pp. 1-41.

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