Books on the topic 'Clustering'

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1

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

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2

Owsiński, Jan W., Jarosław Stańczak, Karol Opara, Sławomir Zadrożny, and Janusz Kacprzyk. Reverse Clustering. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69359-6.

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3

Bolshoy, Alexander, Zeev (Vladimir) Volkovich, Valery Kirzhner, and Zeev Barzily. Genome Clustering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12952-0.

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4

Govaert, Gérard, and Mohamed Nadif. Co-Clustering. Hoboken, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118649480.

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5

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

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6

Greenblatt, Alan. Economic Clustering. 2455 Teller Road, Thousand Oaks California 91320 United States: CQ Press, 2020. http://dx.doi.org/10.4135/cqresrre20200821.

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7

Biehl, Michael, Barbara Hammer, Michel Verleysen, and Thomas Villmann, eds. Similarity-Based Clustering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01805-3.

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8

Pedrycz, Witold. Knowledge-Based Clustering. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471708607.

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9

Celebi, M. Emre, ed. Partitional Clustering Algorithms. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09259-1.

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10

Andreopoulou, Zacharoula, Christiana Koliouska, and Constantin Zopounidis. Multicriteria and Clustering. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55565-2.

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11

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

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12

Leriche, Pierre-Emmanuel. High availablitlity clustering. Oxford: Oxford Brookes University, 2004.

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13

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

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14

Pedrycz, Witold. Knowledge-Based Clustering. New York: John Wiley & Sons, Ltd., 2005.

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15

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

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16

The clustering of America. New York: Harper & Row, 1989.

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17

Masulli, Francesco, Alfredo Petrosino, and Stefano Rovetta, eds. Clustering High--Dimensional Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48577-4.

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18

Mirkin, Boris. Mathematical Classification and Clustering. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0457-9.

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19

Bolla, Marianna, ed. Spectral Clustering and Biclustering. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118650684.

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20

Wu, Weili, Hui Xiong, and Shashi Shekhar. Clustering and Information Retrieval. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4613-0227-8.

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21

Windows NT clustering blueprints. Indianapolis, IN: Sams Pub., 1997.

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22

Lamb, Theodore A. Task clustering methodology comparison. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1989.

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23

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

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24

Canada. Atomic Energy Control Board. Advisory Committee on Radiological Protection. Symposium on leukemia clustering. Ottawa: Atomic Energy Control Board of Canada, 1992.

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25

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

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26

J, Weiss Michael. The clustering of America. New York: Harper & Row, 1988.

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27

International Business Machines Corporation. International Technical Support Organization. Raleigh Center., ed. High availability without clustering. Research Triangle Park, NC: IBM, International Technical Support Organization, 2001.

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28

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

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29

Russell, Steve. Lotus Domino R5 clustering. 2nd ed. Upper Saddle River, N.J: Prentice Hall PTR, 2001.

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30

G, Rothblum Uriel, ed. Partitions: Optimality and clustering. New Jersey: World Scientific, 2011.

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31

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

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32

Bader, David, Henning Meyerhenke, Peter Sanders, and Dorothea Wagner, eds. Graph Partitioning and Graph Clustering. Providence, Rhode Island: American Mathematical Society, 2013. http://dx.doi.org/10.1090/conm/588.

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33

Arabie, Phipps, J. Douglas, and Wayne DeSarbo. Three-way Scaling and Clustering. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1987. http://dx.doi.org/10.4135/9781412986359.

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34

Siddiqui, Fasahat Ullah, and Abid Yahya. Clustering Techniques for Image Segmentation. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81230-0.

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35

Miyamoto, Sadaaki. Theory of Agglomerative Hierarchical Clustering. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0420-2.

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36

M. Bagirov, Adil, Napsu Karmitsa, and Sona Taheri. Partitional Clustering via Nonsmooth Optimization. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37826-4.

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37

Maulik, Ujjwal, Sanghamitra Bandyopadhyay, and Anirban Mukhopadhyay. Multiobjective Genetic Algorithms for Clustering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16615-0.

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38

Xu, Zeshui. Intuitionistic Fuzzy Aggregation and Clustering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28406-9.

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39

Chen, Tin-Chih Toly, and Katsuhiro Honda. Fuzzy Collaborative Forecasting and Clustering. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-22574-2.

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40

Gutman, Shaun, ed. Root Clustering in Parameter Space. Berlin/Heidelberg: Springer-Verlag, 1990. http://dx.doi.org/10.1007/bfb0042758.

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41

Lilley, J. S., and M. A. Nagarajan, eds. Clustering Aspects of Nuclear Structure. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5366-6.

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42

Wu, Junjie. Advances in K-means Clustering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29807-3.

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43

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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44

Vugt, Sander van. Pro Linux High Availability Clustering. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0079-7.

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45

Mirkin, Boris. Clustering. Taylor & Francis Group, 2019.

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46

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

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47

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

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48

Aggarwal, Charu C., and Chandan K. Reddy, eds. Data Clustering. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315373515.

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49

Aggarwal, Charu C. DATA CLUSTERING. Chapman and Hall/CRC, 2013. http://dx.doi.org/10.1201/b15410.

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50

Metaheuristic Clustering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-93964-1.

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