title: |
Membership-based clustering of heterogeneous fuzzy data |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 283 - 289 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Gernot Herbst, Arne-Jens Hempel, Rainer Fletling and Steffen F. Bocklisch |
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publication date: |
July 2011 |
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keywords: |
Fuzzy classification, clustering, pattern
recognition, engineering geodesy. |
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abstract: |
This article contributes to clustering and fuzzy
modelling of data such that specific characteristics
of each datum can be incorporated. Particularly,
each object may exhibit an individual area of influence in its feature space, for which it is representative. For such objects, a similarity measure is
introduced, which is used to modify common clustering algorithms to take each object's extent into
account when finding clusters. A real-world example demonstrates the practical usability of the presented methods, which deliver results in accordance
to findings of experts in that field. |
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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: |