Distributed Clustering using Semi-supervised Fusion and Feature Reduction Preprocessing

Huaying Li; Aleksandar Jeremic

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Distributed Clustering using Semi-supervised Fusion and Feature Reduction Preprocessing

Topics: Detection and Identification

In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSTEC, 233-239, 2018 , Funchal, Madeira, Portugal

Authors: Huaying Li and Aleksandar Jeremic

Affiliation: McMaster University, Canada

Keyword(s): Clustering, Information Fusion, Cluster Ensemble, Semi-supervised Learning.

Abstract: In the recent years there has been tremendous development of data acquisition system resulting in a whole new set of so called big data problems. In addition to other techniques data analysis of these data sets involves significant amount of clustering and/or classification. Due to a heterogeneous nature of the data sets the performance of these algorithms can vary significantly in different applications. In our previous work we proposed semi-supervised information fusion system and demonstrated its performance in various applications. In this paper we proposed to improve the performance of the proposed system by applying data preprocessing algorithms using feature reduction as well as various base clustering techniques. We demonstrate the applicability of the proposed techniques using real data sets.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.118.1.158

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:

Li, H. and Jeremic, A. (2018). Distributed Clustering using Semi-supervised Fusion and Feature Reduction Preprocessing. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOSIGNALS; ISBN 978-989-758-279-0; ISSN 2184-4305, SciTePress, pages 233-239. DOI: 10.5220/0006658002330239

@conference{biosignals18,
author={Huaying Li. and Aleksandar Jeremic.},
title={Distributed Clustering using Semi-supervised Fusion and Feature Reduction Preprocessing},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOSIGNALS},
year={2018},
pages={233-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006658002330239},
isbn={978-989-758-279-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOSIGNALS
TI - Distributed Clustering using Semi-supervised Fusion and Feature Reduction Preprocessing
SN - 978-989-758-279-0
IS - 2184-4305
AU - Li, H.
AU - Jeremic, A.
PY - 2018
SP - 233
EP - 239
DO - 10.5220/0006658002330239
PB - SciTePress