A new Clustering method for symbolic interval data. Application to medical data.

Nathanaël Kasoro Mulenda, André Hardy

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Original languageFrench
Title of host publication16th Annual Meeting of the Belgian Statistical Society
Pages83-90
Number of pages8
Publication statusPublished - 2008

Cite this

Kasoro Mulenda, N., & Hardy, A. (2008). A new Clustering method for symbolic interval data. Application to medical data. In 16th Annual Meeting of the Belgian Statistical Society (pp. 83-90)
Kasoro Mulenda, Nathanaël ; Hardy, André. / A new Clustering method for symbolic interval data. Application to medical data. 16th Annual Meeting of the Belgian Statistical Society . 2008. pp. 83-90
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title = "A new Clustering method for symbolic interval data. Application to medical data.",
author = "{Kasoro Mulenda}, Nathana{\"e}l and Andr{\'e} Hardy",
year = "2008",
language = "Fran{\cc}ais",
pages = "83--90",
booktitle = "16th Annual Meeting of the Belgian Statistical Society",

}

Kasoro Mulenda, N & Hardy, A 2008, A new Clustering method for symbolic interval data. Application to medical data. in 16th Annual Meeting of the Belgian Statistical Society . pp. 83-90.

A new Clustering method for symbolic interval data. Application to medical data. / Kasoro Mulenda, Nathanaël; Hardy, André.

16th Annual Meeting of the Belgian Statistical Society . 2008. p. 83-90.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

TY - GEN

T1 - A new Clustering method for symbolic interval data. Application to medical data.

AU - Kasoro Mulenda, Nathanaël

AU - Hardy, André

PY - 2008

Y1 - 2008

M3 - Article dans les actes d'une conférence/un colloque

SP - 83

EP - 90

BT - 16th Annual Meeting of the Belgian Statistical Society

ER -

Kasoro Mulenda N, Hardy A. A new Clustering method for symbolic interval data. Application to medical data. In 16th Annual Meeting of the Belgian Statistical Society . 2008. p. 83-90