Fuzzy c-Means Algorithms for Data with Tolerance Based on Opposite Criterions
Summary :
In this paper, two new clustering algorithms are proposed for the data with some errors. In any of these algorithms, the error is interpreted as one of decision variables -- called "tolerance" -- of a certain optimization problem like the previously proposed algorithm, but the tolerance is determined based on the opposite criterion to its corresponding previously proposed one. Applying our each algorithm together with its corresponding previously proposed one, a reliability of the clustering result is discussed. Through some numerical experiments, the validity of this paper is discussed.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.10 pp.2194-2202
- Publication Date
- 2007/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e90-a.10.2194
- Type of Manuscript
- Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
- Category
- Soft Computing
Authors
Keyword
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Yuchi KANZAWA, Yasunori ENDO, Sadaaki MIYAMOTO, "Fuzzy c-Means Algorithms for Data with Tolerance Based on Opposite Criterions" in IEICE TRANSACTIONS on Fundamentals,
vol. E90-A, no. 10, pp. 2194-2202, October 2007, doi: 10.1093/ietfec/e90-a.10.2194.
Abstract: In this paper, two new clustering algorithms are proposed for the data with some errors. In any of these algorithms, the error is interpreted as one of decision variables -- called "tolerance" -- of a certain optimization problem like the previously proposed algorithm, but the tolerance is determined based on the opposite criterion to its corresponding previously proposed one. Applying our each algorithm together with its corresponding previously proposed one, a reliability of the clustering result is discussed. Through some numerical experiments, the validity of this paper is discussed.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.10.2194/_p
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@ARTICLE{e90-a_10_2194,
author={Yuchi KANZAWA, Yasunori ENDO, Sadaaki MIYAMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Fuzzy c-Means Algorithms for Data with Tolerance Based on Opposite Criterions},
year={2007},
volume={E90-A},
number={10},
pages={2194-2202},
abstract={In this paper, two new clustering algorithms are proposed for the data with some errors. In any of these algorithms, the error is interpreted as one of decision variables -- called "tolerance" -- of a certain optimization problem like the previously proposed algorithm, but the tolerance is determined based on the opposite criterion to its corresponding previously proposed one. Applying our each algorithm together with its corresponding previously proposed one, a reliability of the clustering result is discussed. Through some numerical experiments, the validity of this paper is discussed.},
keywords={},
doi={10.1093/ietfec/e90-a.10.2194},
ISSN={1745-1337},
month={October},}
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TY - JOUR
TI - Fuzzy c-Means Algorithms for Data with Tolerance Based on Opposite Criterions
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2194
EP - 2202
AU - Yuchi KANZAWA
AU - Yasunori ENDO
AU - Sadaaki MIYAMOTO
PY - 2007
DO - 10.1093/ietfec/e90-a.10.2194
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2007
AB - In this paper, two new clustering algorithms are proposed for the data with some errors. In any of these algorithms, the error is interpreted as one of decision variables -- called "tolerance" -- of a certain optimization problem like the previously proposed algorithm, but the tolerance is determined based on the opposite criterion to its corresponding previously proposed one. Applying our each algorithm together with its corresponding previously proposed one, a reliability of the clustering result is discussed. Through some numerical experiments, the validity of this paper is discussed.
ER -
English
