title: |
A numerical distance based on fuzzy partitions |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 1000 - 1006 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Serge Guillaume, Brigitte Charnomordic, Patrice Loisel |
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publication date: |
July 2011 |
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keywords: |
Similarity, interpretable, expert knowledge, k-means, clustering |
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abstract: |
This work studies a new distance function which
takes into account expert knowledge by making use
of fuzzy partitions. It considers the symbolic distances between concepts and is equivalent to the Euclidean distance for regular partitions made of triangular membership functions. Its behaviour is investigated in comparison with that of the Euclidean
distance and its interest is shown for clustering applications. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |