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[LBT00a] Topological Map for Binary Data
Conférence Internationale avec comité de lecture : ESANN, January 2000,
motcle:
Résumé:
We propose a new algorithm using topological map on binary
data. The usual Euclidean distance is replaced by binary distance
measures, which take into account possible asymmetries of binary
data. The method is illustrated on an example taken from literature.
Finally an application from chemistry is presented. We show the
eficiency of the proposed method when applied to high-dimensinal
binary data.
Collaboration:
UPMC
BibTeX
| @inproceedings { | |||
| LBT00a, | |||
| title | = | "{Topological Map for Binary Data}", | |
| author | = | " M. Lebbah and F. Badran and S. Thiria ", | |
| booktitle | = | "{ESANN}", | |
| year | = | 2000, | |
| month | = | "January", | |
| } | |||
