Diday, E.
32  Ergebnisse:
Personensuche X
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1

Advances in data science: symbolic, complex, and network da.. 

Big data, artificial intelligence and data analysis set, v. 4
 
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3

Clustering methodology for symbolic data 

Wiley series in computational statistics
Billard, L ; Diday, E , 2020
 
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5

Improving Explanatory Power of Machine Learning in the Symb..:

, In: Progress in Artificial Intelligence and Pattern Recognition; Lecture Notes in Computer Science,
Diday, E. - p. 3-14 , 2018
 
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7

Classification and Regression Trees on Aggregate Data Model..:

Quantin, C. ; Billard, L. ; Touati, M....
Journal of Probability and Statistics.  2011 (2011)  1 - p. , 2011
 
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8

Copula analysis of mixture models:

Vrac, M. ; Billard, L. ; Diday, E..
Computational Statistics.  27 (2011)  3 - p. 427-457 , 2011
 
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9

Principal component analysis for interval‐valued observatio..:

Douzal‐Chouakria, A. ; Billard, L. ; Diday, E.
Statistical Analysis and Data Mining: The ASA Data Science Journal.  4 (2011)  2 - p. 229-246 , 2011
 
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12

I-Scal: Multidimensional scaling of interval dissimilaritie:

Groenen, P.J.F. ; Winsberg, S. ; Rodríguez, O..
Computational Statistics & Data Analysis.  51 (2006)  1 - p. 360-378 , 2006
 
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13

Descriptive statistics for interval-valued observations in ..:

Billard, L. ; Diday, E.
Computational Statistics.  21 (2006)  2 - p. 187-210 , 2006
 
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14

Mixture decomposition of distributions by copulas in the sy..:

Diday, E. ; Vrac, M.
Discrete Applied Mathematics.  147 (2005)  1 - p. 27-41 , 2005
 
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15

From the Statistics of Data to the Statistics of Knowledge:..:

Billard, L ; Diday, E
Journal of the American Statistical Association.  98 (2003)  462 - p. 470-487 , 2003
 
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