Method and system for L 1 -based robust distribution...

Data processing: artificial intelligence – Machine learning

Reexamination Certificate

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C705S002000, C705S014270

Reexamination Certificate

active

07996340

ABSTRACT:
A workforce analysis method for solving L1-based clustering problem of multinomial distributions of workforce data includes acquiring workforce allocation data, arranging the workforce allocation data in sets of fraction data with respect to the L1distances, clustering the sets of fraction data t corresponding set of cluster centers, or L1distances for each set, minimizing the sets of fraction data based on the cluster centers or L1distances and outputting analysis results of the clustering problem.

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patent: 2008/0183553 (2008-07-01), Cao et al.
patent: 0294116 (1988-12-01), None
Nascimento, S.; Mirkin, B.; Moura-Pires, F.; , “A fuzzy clustering model of data with proportional membership,” Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American , vol., no., pp. 261-266, 2000.
Groenen P, Kaymak U, van Rosmalen J. Fuzzy clustering with Minkowski distance functions. In: OliveiraVJ, Pedrycz W, eds. Advances in Fuzzy Clustering and its Applications. Chichester, West Sussex: John Wiley & Sons; 2007.
Thomas P. Minka, “Estimating a Dirichlet Distributuion” Feb. 27, 2003.
“Computational Complexity”, Mathematical Foundations, Appendix A, p. 633.

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