Symbolic Clustering of Constrained Probabilistic Data
作者： P. Brito , F. A. T. de Carvalho
DOI: 10.1007/978-3-642-55721-7_2
关键词:
摘要: In previous work (Brito and De Carvalho (1999)) we have considered the presence of dependence rules between variables in framework a symbolic clustering method. another paper Brito (1998) has addressed problem probabilistic data. The aim this is to bring together two issues, that is, take into account on This accomplished by introducing new generality measures with an appropriate generalization operator. approach allows for extension method constrained
springer.com
sci-hub.st 参考文章(9)
Edwin Diday, Orders and overlapping clusters by pyramids INRIA. ,(1987)
Analysis of Symbolic Data Springer Berlin Heidelberg. ,(2000) , 10.1007/978-3-642-57155-8
Maurizio Vichi, Hans Hermann Bock, Alfredo Rizzi, Advances in data science and classification : proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98), Università "La Sapienza", Rome, 21-24 July, 1998 Springer. ,(1998)
Francisco T. de Carvalho, Extension based proximities between constrained Boolean symbolic objects Studies in Classification, Data Analysis, and Knowledge Organization. pp. 370- 378 ,(1998) , 10.1007/978-4-431-65950-1_41
G. A. Baker, Distribution of the Means Divided By the Standard Deviations of Samples From Non-Homogeneous Populations Annals of Mathematical Statistics. ,vol. 3, pp. 1- 9 ,(1932) , 10.1214/AOMS/1177732927
Kameo Matusita, Decision Rules, Based on the Distance, for Problems of Fit, Two Samples, and Estimation Annals of Mathematical Statistics. ,vol. 26, pp. 631- 640 ,(1955) , 10.1214/AOMS/1177728422
Advances in data science and classification Springer. ,(1998) , 10.1007/978-3-642-72253-0
Data Science, Classification and Related Methods Springer. ,(1998) , 10.1007/978-4-431-65950-1
Seiji Nabeya, Absolute moments in 2-dimensional normal distribution Annals of the Institute of Statistical Mathematics. ,vol. 3, pp. 1- 1 ,(1951) , 10.1007/BF02949770