「相互情報量」の版間の差分

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Was a bee (会話 | 投稿記録)
Point136 (会話 | 投稿記録)
m bot: rdr回避 (-PDF +PDF)
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== 参考文献 ==
 
* {{cite journal | last = Cilibrasi | first = R. | coauthors = Paul Vitányi | title = Clustering by compression | journal = IEEE Transactions on Information Theory | volume = 51 | issue = 4 | pages = 1523-1545 | date = 2005 | url = http://www.cwi.nl/~paulv/papers/cluster.pdf | format = [[Portable Document Format|PDF]]}}
* Coombs, C. H., Dawes, R. M. & Tversky, A. (1970), ''Mathematical Psychology: An Elementary Introduction'', Prentice-Hall, Englewood Cliffs, NJ.
* Cronbach L. J. (1954). On the non-rational application of information measures in psychology, in H Quastler, ed., ''Information Theory in Psychology: Problems and Methods'', Free Press, Glencoe, Illinois, pp. 14—30.
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* Athanasios Papoulis. ''Probability, Random Variables, and Stochastic Processes'', second edition. New York: McGraw-Hill, 1984. ''(See Chapter 15.)''
* Press, W. H., Flannery, B. P., Teukolsky, S. A. & Vetterling, W. T. (1988), ''Numerical Recipes in C: The Art of Scientific Computing'', Cambridge University Press, Cambridge.
* {{cite journal | last = Strehl | first = Alexander | coauthors = Joydeep Ghosh | title = Cluster ensembles -- a knowledge reuse framework for combining multiple partitions | journal = Journal of Machine Learning Research | volume = 3 | pages = 583-617 | date = 2002 | url = http://strehl.com/download/strehl-jmlr02.pdf | format = [[Portable Document Format|PDF]]}}
* Witten, Ian H. & Frank, Eibe (2005), ''Data Mining: Practical Machine Learning Tools and Techniques'', Morgan Kaufmann, Amsterdam.
* Yao, Y. Y. (2003) Information-theoretic measures for knowledge discovery and data mining, in ''Entropy Measures, Maximum Entropy Principle and Emerging Applications'' , Karmeshu (ed.), Springer, pp. 115-136.