Distributed Clustering using Semi-supervised Fusion and Feature Reduction Preprocessing

Huaying Li, Aleksandar Jeremic

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.

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Paper Citation


in Harvard Style

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 - Volume 3: BIOSIGNALS, ISBN 978-989-758-279-0, pages 233-239. DOI: 10.5220/0006658002330239


in Bibtex Style

@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 - Volume 3: BIOSIGNALS,},
year={2018},
pages={233-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006658002330239},
isbn={978-989-758-279-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS,
TI - Distributed Clustering using Semi-supervised Fusion and Feature Reduction Preprocessing
SN - 978-989-758-279-0
AU - Li H.
AU - Jeremic A.
PY - 2018
SP - 233
EP - 239
DO - 10.5220/0006658002330239