loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ludmila Himmelspach and Stefan Conrad

Affiliation: Heinrich-Heine-University Duesseldorf, Germany

ISBN: 978-989-758-201-1

Keyword(s): Fuzzy Clustering, c-Means Models, High Dimensional Data, Noise, Possibilistic Clustering.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Information Retrieval and Data Mining ; Fuzzy Systems ; Pattern Recognition: Fuzzy Clustering and Classifiers ; Soft Computing

Abstract: Clustering high dimensional data is still a challenging problem for fuzzy clustering algorithms because distances between each pair of data items get similar with the increasing number of dimensions. The presence of noise and outliers in data is an additional problem for clustering algorithms because they might affect the computation of cluster centers. In this work, we analyze the effect of different kinds of noise and outliers on fuzzy clustering algorithms that can handle high dimensional data: FCM with attribute weighting, the multivariate fuzzy c-means (MFCM), and the possibilistic multivariate fuzzy c-means (PMFCM). Additionally, we propose a new version of PMFCM to enhance its ability handling noise and outliers in high dimensional data. The experimental results on different high dimensional data sets show that the possibilistic versions of MFCM produce accurate cluster centers independently of the kind of noise and outliers.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.172.217.40

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Himmelspach, L. and Conrad, S. (2016). The Effect of Noise and Outliers on Fuzzy Clustering of High Dimensional Data.In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2016) ISBN 978-989-758-201-1, pages 101-108. DOI: 10.5220/0006070601010108

@conference{fcta16,
author={Ludmila Himmelspach. and Stefan Conrad.},
title={The Effect of Noise and Outliers on Fuzzy Clustering of High Dimensional Data},
booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2016)},
year={2016},
pages={101-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006070601010108},
isbn={978-989-758-201-1},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2016)
TI - The Effect of Noise and Outliers on Fuzzy Clustering of High Dimensional Data
SN - 978-989-758-201-1
AU - Himmelspach, L.
AU - Conrad, S.
PY - 2016
SP - 101
EP - 108
DO - 10.5220/0006070601010108

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.