TY  - CONF
ID  - lesot2006summarisation
T1  - Data Summarisation by Typicality-based Clustering for Vectorial and Non Vectorial Data
A1  - Lesot, M. J.
A1  - Kruse, Rudolf
JA  - Fuzzy Systems, 2006 IEEE International Conference on
TI  - Fuzzy Systems, 2006 IEEE International Conference on
Y1  - 2006
SP  - 547
EP  - 554
M2  - doi: 10.1109/fuzzy.2006.1681765
N2  - In this paper, a typicality-based clustering algorithm is proposed: it exploits typicality degrees defined in a prototype construction framework to identify a decomposition of the dataset into homogeneous and distinct clusters and to provide characteristic representatives of the obtained clusters, so as to summarise the initial dataset. The proposed algorithm can be applied both to vectorial and non vectorial data, such as trees for instance. Tests performed on artificial and real data illustrate the interest of the proposed approach.
ER  -