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[DSB04] Missing Data and Imputation Methods in Partition of Variables
Conférence Internationale avec comité de lecture : Classification, Clustering and Data Mining Applications, D.Banks et al. editors,, January 2004, pp. 631-637, Series Studies in Classification, Data Analysis, ,
motcle:
Résumé:
We deal with the effect of missing data under a "missing at random model" on clasification of variables with non-hierarchical methods. The partitions are compared by the Rand's index.
Commentaires:
IXth Conference of the International Federation of Classification Societies, Juillet 2004, Chicago
BibTeX
| @inproceedings { | |||
| DSB04, | |||
| title | = | "{Missing Data and Imputation Methods in Partition of Variables}", | |
| author | = | " A. Lorga da Silva and G. Saporta and H. Bacelar-Nicolau ", | |
| booktitle | = | "{Classification, Clustering and Data Mining Applications, D.Banks et al. editors,}", | |
| year | = | 2004, | |
| month | = | "January", | |
| series | = | "Studies in Classification, Data Analysis, ", | |
| pages | = | " 631-637", | |
| note | = | "{IXth Conference of the International Federation of Classification Societies, Juillet 2004, Chicago}", | |
| } | |||
