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1

Geographical data analysis. Chichester: J. Wiley & Sons, 1995.

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2

Ren, Jinwei. Cluster analysis of induced seismicity data. Dublin: University College Dublin, 1996.

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3

Analysis of longitudinal and cluster-correlated data. Beachwood, OH: Institute of Mathematical Statistics, 2004.

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4

Laird, Nan. Analysis of Longitudinal and Cluster-Correlated Data. Beechwood OH and Alexandria VA: Institute of Mathematical Statistics and American Statistical Association, 2004. http://dx.doi.org/10.1214/cbms/1462106075.

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5

Bhati, M. Ishaq. Cluster effects in mining complex data. Hauppauge, N.Y: Nova Science Publisher's, 2011.

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6

Matthews, M. H. Geographical data: Sources, presentation and analysis. Oxford: Oxford University Press, 1989.

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7

Moisl, Hermann. Cluster analysis for corpus linguistics. Berlin: De Gruyter, 2015.

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8

Backer, E. Computer-assisted reasoning in cluster analysis. New York: Prentice Hall, 1995.

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9

Cluster dissection and analysis: Theory, FORTRAN programs, examples. Chichester: Horwood, 1985.

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10

Kaufman, Leonard. Finding groups in data: An introduction to cluster analysis. Hoboken, N.J: Wiley, 2005.

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11

Kaufman, Leonard. Finding groups in data: An introduction to cluster analysis. New York: Wiley, 1990.

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12

Sutradhar, Brajendra C. Dynamic mixed models for familial longitudinal data. New York: Springer, 2011.

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13

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

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14

Massart, Desiré L. The interpretation of analytical chemical data by the use of cluster analysis. Malabar, Fla: R.E. Krieger Pub. Co., 1989.

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15

Bensmail, Halima. Analyzing imputed financial data: A new approach to cluster analysis. [Atlanta]: Federal Reserve Bank of Atlanta, 2004.

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16

author, Li Taoying, ed. Shu ju wa jue yu ju lei fen xi. Dalian Shi: Dalian hai shi da xue chu ban she, 2012.

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17

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

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18

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

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19

1918-, Hayashi Chikio, ed. Recent developments in clustering and data analysis: Proceedings of the Japanese-French Scientific Seminar, March 24-26, 1987. Boston: Academic Press, 1988.

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20

J, Hayes Richard, and Hayes Richard J. Cluster randomised trials. Boca Raton: Taylor & Francis, 2009.

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21

Mucha, Hans-Joachim. Clusteranalyse mit Mikrocomputern. Berlin: Akademie Verlag, 1992.

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22

Barbakh, Wesam Ashour. Non-standard parameter adaptation for exploratory data analysis. Berlin: Springer, 2009.

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23

Stata multivariate statistics reference manual: Release 12. College Station, Tex: StataCorp LP, 2011.

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24

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

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25

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

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26

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

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27

Willett, Peter. Parallel database processing: Text retrieval and cluster analysis using the DAP. London: Pitman, 1990.

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28

Phalen, William J. ASCII CODAP programs for selecting and interpreting task clusters. Brooks Air Force Base, Tex: Air Force Systems Command, Air Force Human Resources Laboratory, 1989.

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29

Ju lei suan fa zhong de you hua fang fa ying yong: JU LEI SUAN FA ZHONGDE YOUHUA FANGFA YINGYONG. Chengdu: Dian zi ke ji da xue chu ban she, 2014.

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30

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

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31

Introduction to clustering large and high-dimensional data. Cambridge: Cambridge University Press, 2007.

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32

Viattchenin, Dmitri A. A heuristic approach to possibilistic clustering: Algorithms and applications. Heidelberg: Springer, 2013.

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33

International Federation of Classification Societies. Conference. Classification and related methods of data analysis: Proceedings of the First Conference of the International Federation of Classification Societies (IFCS), Technical University of Aachen, F.R.G., 29 June-1 July, 1987. Amsterdam: North-Holland, 1988.

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34

DIANA (3rd 1990 Bechyně, Czechoslovakia). Proceedings, DIANA III: Conference on discriminant analysis, cluster analysis, factor analysis, and related topics of multivariate statistics and data analysis : Bechyně, June 4-7, 1990. Praha: Mathematical Institute of the Czechoslovak Academy of Sciences, 1990.

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35

Stata multivariate statistics reference manual: Release 11. College Station, Tex: StataCorp LP, 2009.

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36

International Federation of Classification Societies. Conference. Program and abstracts: IFCS 2002 : data analysis, classification, and related methods : 8th Conference of the International Federation of Classification Societies, July 16-19, 2002, Cracow, Poland. Cracow: University of Economics Publishers, 2002.

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37

Johnson, Richard E. Terrestrial mammals of Washington State: Location data and predicted distributions. Seattle: Washington Cooperative Fish and Wildlife Research Unit, University of Washington, 1997.

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38

Liu, Belinda. DBCELL: A cell-density-based clustering method for large spatial databases. 1999.

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39

(Editor), Marc Aerts, Geert Molenberghs (Editor), Louise M. Ryan (Editor), and Helena Geys (Editor), eds. Topics in Modelling of Clustered Data. Chapman & Hall/CRC, 2002.

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40

Marc, Aerts, ed. Topics in modelling of clustered data. Boca Raton: Chapman & Hall/CRC, 2002.

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41

Cluster Analysis and Data Mining: An Introduction. Mercury Learning & Information, 2013.

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42

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

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43

(Editor), Daniel Baier, Reinhold Decker (Editor), and Lars Schmidt-Thieme (Editor), eds. Data Analysis and Decision Support (Studies in Classification, Data Analysis, and Knowledge Organization). Springer, 2005.

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44

Cluster Analysis for Data Mining and System Identification. Birkhäuser Basel, 2007.

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45

Cluster Analysis for Data Mining and System Identification. Basel: Birkhäuser Basel, 2007. http://dx.doi.org/10.1007/978-3-7643-7988-9.

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46

Cluster Analysis for Data Mining and System Identification. Birkhäuser, 2007.

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47

Frank, Höppner, ed. Fuzzy cluster analysis: Methods for classification, data analysis, and image recognition. Chichester ; New York: J. Wiley, 1999.

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48

Höppner, Frank, Frank Klawonn, Thomas Runkler, and Rudolf Kruse. Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition. Wiley, 1999.

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49

E, Diday, ed. New approaches in classification and data analysis. Berlin: Springer-Verlag, 1994.

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50

Nicholas, Charles, Marc Teboulle, and Jacob Kogan. Grouping Multidimensional Data: Recent Advances in Clustering. Springer, 2010.

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