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Books on the topic 'Cluster analysis – Data processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 January 2023

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1

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

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2

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

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3

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

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4

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

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5

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

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6

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

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7

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

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8

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

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9

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

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10

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

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11

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

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12

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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13

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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14

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

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15

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

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16

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

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17

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

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18

1970-, Buyya Rajkumar, ed. High performance cluster computing. Upper Saddle River, N.J: Prentice Hall PTR, 1999.

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19

Grigor'ev, Anatoliy, and Evgeniy Isaev. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1032305.

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The tutorial deals with selected methods and algorithms of data processing, the sequence of solving problems of processing and analysis of data to create models behavior of the object taking into account all the components of its mathematical model. Describes the types of technological methods for the use of software and hardware for solving problems in this area. The algorithms of distributions, regressions vremenny series, transform them with the aim of obtaining mathematical models and prediction of the behavior information and economic systems (objects). The second edition is supplemented by materials that are in demand by researchers in the part of the correct use of clustering algorithms. Are elements of the classification algorithms to identify their capabilities, strengths and weaknesses. Are the procedures of justification and verify the adequacy of the results of the cluster analysis, conducted a comparison and evaluation of different clustering techniques, given information about visualization of multidimensional data and examples of practical application of clustering algorithms. Meets the requirements of Federal state educational standards of higher education of the last generation. For students of economic specialties, specialists, and graduate students.

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20

Pagter, P. J. de. Image data reduction with splines and segmentation with emphasis on earth observation. Amsterdam: National Aerospace Laboratory, 1985.

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21

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

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22

1918-, Hayashi Chikio, ed. Data science, classification, and related methods: Proceedings of the fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27-30, 1996. Tokyo: Springer, 1998.

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23

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

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24

Petra, Perner, ed. Machine learning and data mining in pattern recognition: 5th international conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007 ; proceedings. Berlin: Springer, 2007.

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25

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

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26

Gimel'farb, Georgy L. Image Textures and Gibbs Random Fields. Dordrecht: Springer Netherlands, 1999.

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27

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

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28

1970-, Buyya Rajkumar, and Szyperski Clemens, eds. Cluster computing. Huntington, N.Y: Nova Science Publishers, 2001.

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29

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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30

Teresa, Kowalczyk, Pleszczyńska Elżbieta, and Ruland Frederick 1950-, eds. Grade models and methods for data analysis: With applications for the analysis of data population. Berlin: Springer, 2004.

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31

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

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32

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

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33

T, Harper D. A., ed. Paleontological data analysis. Malden, MA: Blackwell Pub., 2006.

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34

Bock, R. K. The data analysis briefbook. Berlin: Springer, 1998.

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35

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

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36

Successful data processing system analysis. 2nd ed. Englewood Cliffs, N.J: Prentice-Hall, 1985.

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37

Gan, Guojun, Chaoqun Ma, and Jianhong Wu. Data Clustering: Theory, Algorithms, and Applications. Society for Industrial and Applied Mathematics, 2020.

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38

Bhattacharyya, Siddhartha, Sourav De, Paramartha Dutta, and Indrajit Pan. Intelligent Multidimensional Data Clustering and Analysis. IGI Global, 2017.

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39

Gan, Guojun, Chaoqun Ma, and Jianhong Wu. Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability). SIAM, Society for Industrial and Applied Mathematics, 2007.

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40

Linux Enterprise Cluster: Build a Highly Available Cluster with Commodity Hardware and Free Software. No Starch Press, 2005.

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41

Kopper, Karl. Linux Enterprise Cluster: Build a Highly Available Cluster with Commodity Hardware and Free Software. No Starch Press, Incorporated, 2005.

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42

Kaufman, Leonard, and Peter J. Rousseeuw. Finding Groups in Data: An Introduction to Cluster Analysis. Wiley & Sons, Incorporated, John, 2008.

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43

Sas Technical Report P-256, Sas/Stat Software: The Modeclus Procedure, Release X (SAS technical report). Sas Inst, 1994.

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44

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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45

Kumar, Vipin, Ian Davidson, Kiri Wagstaff, and Sugato Basu. Constrained Clustering: Advances in Algorithms, Theory, and Applications. Taylor & Francis Group, 2008.

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46

Davidson, Ian, Kiri Wagstaff, and Sugato Basu. Constrained Clustering: Advances in Algorithms, Theory, and Applications. Taylor & Francis Group, 2008.

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47

Davidson, Ian, Kiri Wagstaff, and Sugato Basu. Constrained Clustering: Advances in Algorithms, Theory, and Applications. Taylor & Francis Group, 2008.

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48

(Editor), Sugato Basu, Ian Davidson (Editor), and Kiri Wagstaff (Editor), eds. Constrained Clustering: Advances in Algorithms, Theory, and Applications (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series). Chapman & Hall/CRC, 2008.

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49

LP, StataCorp, ed. Stata multivariate statistics reference manual: Release 10. College Station, Tex: StataCorp LP, 2007.

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50

Data Analytics with Hadoop: An Introduction for Data Scientists. O'Reilly Media, 2016.

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