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[dSN10] A Clusterwise Center and Range Regression Model for Interval-Valued Data
Conférence Internationale avec comité de lecture : COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, August 2010, pp.461-468, Paris, France,Mots clés: regression, interval data
Résumé:
This paper aims to adapt clusterwise regression to interval-valued data.
The proposed approach combines the dynamic clustering algorithm with the center and range regression method for interval-valued data in order to identify both the partition of the data and the relevant regression models, one for each cluster.
Experiments with a car interval-valued data set show the usefulness of ombining
both approaches.
Equipe:
msdma
BibTeX
| @inproceedings { | |||
| dSN10, | |||
| title | = | "{A Clusterwise Center and Range Regression Model for Interval-Valued Data}", | |
| author | = | " F. de A. T. de Carvalho and G. Saporta and D. N. Queiroz ", | |
| booktitle | = | "{COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris}", | |
| year | = | 2010, | |
| month | = | "August", | |
| pages | = | "461-468", | |
| address | = | "Paris, France", | |
| } | |||
