The Communist Party apparatus by Abdurakhman Avtorkhanov

By Abdurakhman Avtorkhanov

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589–594, 1990. 25. S. Oshio, K. Honda, S. Ubukata and A. Notsu, “Deterministic annealing framework in MMMsinduced fuzzy co-clustering and its applicability,” International Journal of Computer Science and Network Security, vol. 16, no. 1, pp. 43–50, 2016. 26. K. Sjölander, K. Karplus, M. Brown, R. Hughey, A. Krogh, I. Saira Mian and D. Haussler, “Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology,” Computer Applications in the Biosciences, vol. 12, no.

We then obtain the desired clustering results, as shown in Fig. 4 using Algorithm 6. Thus, this example shows that on data that causes Algorithm 3 to fail, the proposed algorithm (Algorithm 6) achieves a successful clustering result with the help of pairwise constraints given by a supervisor. Although we tested Algorithm 6 58 Y. 5. 3 Example for Algorithm 7 In this example, we apply Algorithm 7 to the data in Fig. 1 with fewer must-link and cannot-link constraints than shown in Fig. 3. First, we see that Algorithm 5 fails with the given constraints as follows.

Of the 4th IEEE Intern. Conf. on Fuzzy Systems (FUZZ-IEEE/IFES’95), Yokohama, Japan, March 20–24, 1995, pp. 2227–2232, 1995. 24. B. MacQueen, Some methods of classification and analysis of multivariate observations, Proc. of 5th Berkeley Symposium on Math. Stat. , pp. 281–297, 1967. 25. G. McLachlan, D. Peel, Finite Mixture Models, Wiley, New York, 2000. 26. S. Miyamoto, Fuzzy Sets in Information Retrieval and Cluster Analysis, Kluwer, Dordrecht, 1990. 27. S. Miyamoto, M. Mukaidono, Fuzzy c-means as a regularization and maximum entropy approach, Proc.

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