Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science
LI HONG
FUZHOU UNIVERSITY

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Wasserstein Metric Based Adaptive Fuzzy Clustering Methods for Symbolic Interval Data LI HONG
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The aim of this paper is to present new wasserstein metric based adaptive fuzzy clustering methods for partitioning symbolic interval data. In two methods, fuzzy partitions and prototypes for clusters are determined by optimizing adequacy criteria based on wasserstein distances between vectors of intervals. The applicability and effectiveness of the proposed methods are validated through experiments with synthetic data sets. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3630
Co-Authors