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Books on the topic 'Clustering analysi'

Author: Grafiati
Published: 10 March 2023

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1

Xu, Rui. Clustering. Hoboken, N.J: Wiley, 2009.

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2

Mirkin, B. G. Mathematical classification and clustering. Dordrecht: Kluwer Academic Publishers, 1996.

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3

Phipps, Arabie, Hubert Lawrence J. 1944-, and Soete Geert de, eds. Clustering and classification. Singapore: World Scientific, 1996.

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4

1968-, Abraham Ajith, and Konar Amit, eds. Metaheuristic clustering. Berlin: Springer, 2009.

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5

Murtagh, Fionn. Multidimensional clustering algorithms. Vienna: Physica-Verlag, 1985.

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6

Miyamoto, Sadaaki. Algorithms for fuzzy clustering: Methods in c-means clustering with applications. Berlin: Springer, 2008.

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7

Jajuga, Krzysztof, Andrzej Sokołowski, and Hans-Hermann Bock, eds. Classification, Clustering, and Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56181-8.

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8

Kusiak, Andrew. Clustering analysis: Models and algorithms. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1985.

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9

C, Dubes Richard, ed. Algorithms for clustering data. Englewood Cliffs, N.J: Prentice Hall, 1988.

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10

E, Alexander F., and Boyle P, eds. Methods for investigating localized clustering of disease. Lyon, France: International Agency for Research on Cancer, World Health Organization, 1996.

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11

Janowitz, M. F. Ordinal and relational clustering. Singapore: World Scientific, 2010.

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12

Borra, Surekha, Rohit Thanki, and Nilanjan Dey. Satellite Image Analysis: Clustering and Classification. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6424-2.

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13

Risk classification by means of clustering. Frankfurt am Main: Peter Lang, 2010.

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14

Sergiy, Butenko, Chaovalitwongse W. Art, Pardalos P. M. 1954-, and DIMACS Workshop on Clustering Problems in Biological Networks (2006 : Rutgers University), eds. Clustering challenges in biological networks. New Jersry: World Scientific, 2009.

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15

Sergiy, Butenko, Chaovalitwongse W. Art, Pardalos P. M. 1954-, and DIMACS Workshop on Clustering Problems in Biological Networks (2006 : Rutgers University), eds. Clustering challenges in biological networks. New Jersry: World Scientific, 2009.

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16

Botbol, Joseph Moses. Multivariate clustering based on entropy. Washington, DC: Dept. of the Interior, 1989.

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17

Botbol, Joseph Moses. Multivariate clustering based on entropy. [Washington]: U.S. G.P.O., 1989.

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18

Ullrich, Heilemann, Weihs Claus, Rheinisch-Westfälisches Institut für Wirtschaftsforschung Essen., and Universität Dortmund Fachbereich Statistik, eds. Classification and clustering in business cycle analysis. Berlin: Duncker & Humblot, 2007.

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19

Ullrich, Heilemann, Weihs Claus, Rheinisch-Westfälisches Institut für Wirtschaftsforschung Essen., and Universität Dortmund Fachbereich Statistik, eds. Classification and clustering in business cycle analysis. Berlin: Duncker & Humblot, 2007.

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20

Data clustering: Algorithms and applications. Boca Raton: Chapman and Hall/CRC, 2014.

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21

Douglas, Carroll J., and DeSarbo Wayne, eds. Three-way scaling and clustering. Newbury Park: Sage Publications, 1987.

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22

Arabie, Phipps. Three-way scaling and clustering. Newbury Park: Sage Publications, 1987.

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23

E, MacCuish Norah, ed. Clustering in bioinformatics and drug discovery. Boca Raton: Taylor & Francis, 2011.

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24

Similarity and clustering in chemical information systems. Letchworth, Hertfordshire, England: Research Studies Press, 1987.

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25

Statistical methods for disease clustering. New York: Springer, 2010.

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26

Genome clustering: From linguistic models to classification of genetic texts. Berlin: Springer, 2010.

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27

Long, Bo. Relational data clustering: Models, algorithms, and applications. Boca Raton: Chapman & Hall/CRC, 2010.

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28

L, McQuitty Louis. Pattern-analytic clustering: Theory, method, research, and configural findings. Lanham: University Press of America, 1987.

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29

1952-, Basford Kaye E., ed. Mixture models: Inference and applications to clustering. New York, N.Y: M. Dekker, 1988.

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30

International Federation of Classification Societies. Conference. Classification, clustering and data analysis: Recent advances and applications. Berlin: Springer, 2002.

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31

Owsiński, Jan W. Data Analysis in Bi-partial Perspective: Clustering and Beyond. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-13389-4.

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32

Jajuga, Krzysztof. Classification, Clustering, and Data Analysis: Recent Advances and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002.

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33

W, Berry Michael, ed. Survey of text mining: Clustering, classification, and retrieval ; with 57 illustrations. New York: Springer, 2004.

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34

Gan, Guojun. Data clustering in C++: An object-oriented approach. Boca Raton: Chapman & Hall/CRC, 2011.

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35

Sugato, Basu, Davidson Ian 1971-, and Wagstaff Kiri, eds. Constrained clustering: Advances in algorithms, theory, and applications. Boca Raton, FL: Chapman & Hall/CRC, 2008.

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36

Xu, Rui, and Don Wunsch. Clustering. Wiley & Sons, Incorporated, John, 2008.

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37

Xu, Rui, and Don Wunsch. Clustering. Wiley & Sons, Incorporated, John, 2008.

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38

Konar, Amit, Ajith Abraham, and Swagatam Das. Metaheuristic Clustering. Springer, 2010.

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39

Mathematical Classification and Clustering. Springer, 2011.

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40

Discriminant Analysis and Clustering. National Academies Press, 1988.

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41

Discriminant Analysis and Clustering. Washington, D.C.: National Academies Press, 1988. http://dx.doi.org/10.17226/1360.

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42

Mathematics, and Applications Commission on Physical Sciences, Board on Mathematical Sciences, Committee on Applied and Theoretical Statistics, National Research Council, and Division on Engineering and Physical Sciences. Discriminant Analysis and Clustering. National Academies Press, 1988.

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43

Celebi, M. Emre. Partitional Clustering Algorithms. Springer, 2016.

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44

Celebi, M. Emre. Partitional Clustering Algorithms. Springer, 2014.

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45

Celebi, M. Emre. Partitional Clustering Algorithms. Springer, 2014.

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46

Miyamoto, Sadaaki, Hidetomo Ichihashi, and Katsuhiro Honda. Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications. Springer, 2010.

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47

Wu, Weili, Hui Xiong, and S. Shekhar. Clustering and Information Retrieval. Springer London, Limited, 2011.

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48

(Editor), Krzystof Jajuga, Andrzej Sokolowski (Editor), and Hans-Hermann Bock (Editor), eds. Classification, Clustering and Data Analysis. Springer, 2002.

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49

Yu, Philip S., Bo Long, and Zhongfei Zhang. Relational Data Clustering. Taylor & Francis Group, 2019.

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50

Tango, Toshiro. Statistical Methods for Disease Clustering. Springer, 2012.

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