Clustering Arrhythmia Multiclass Using Fuzzy Robust Kernel C-Means (FRKCM)

Nedya Shandri, Zuherman Rustam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Irregularities in the rhythm of the heartbeat is known for arrhythmias. Which sometimes may occur sporadically in daily life. In this paper, Arrhythmia clustering proposed using Fuzzy robust kernel c-means to multiclass data Arrhythmia from the UCI machine learning repository. Kernel functions that will be used for this paper is RBF kernel and Polynomial kernel. A clustering algorithm can organize a set groups data objects into various clusters so that the data within the same cluster have high similarity in comparison to one another. Based on the experiments, it provides high clustering accuracy and effective diagnostic capabilities.

Original languageEnglish
Title of host publicationProceedings of ICAITI 2018 - 1st International Conference on Applied Information Technology and Innovation
Subtitle of host publicationToward A New Paradigm for the Design of Assistive Technology in Smart Home Care
EditorsYance Sonatha, Rahmat Hidayat, Alde Alanda, MT Humaira, Indri Rahmayuni
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages145-148
Number of pages4
ISBN (Electronic)9781538667262
DOIs
Publication statusPublished - 10 Apr 2019
Event1st International Conference on Applied Information Technology and Innovation, ICAITI 2018 - Padang, Indonesia
Duration: 4 Sep 20185 Sep 2018

Publication series

NameProceedings of ICAITI 2018 - 1st International Conference on Applied Information Technology and Innovation: Toward A New Paradigm for the Design of Assistive Technology in Smart Home Care

Conference

Conference1st International Conference on Applied Information Technology and Innovation, ICAITI 2018
CountryIndonesia
CityPadang
Period4/09/185/09/18

Keywords

  • Fuzzy Means
  • Fuzzy Robust
  • Multiclass Arrhythmia

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  • Cite this

    Shandri, N., & Rustam, Z. (2019). Clustering Arrhythmia Multiclass Using Fuzzy Robust Kernel C-Means (FRKCM). In Y. Sonatha, R. Hidayat, A. Alanda, MT. Humaira, & I. Rahmayuni (Eds.), Proceedings of ICAITI 2018 - 1st International Conference on Applied Information Technology and Innovation: Toward A New Paradigm for the Design of Assistive Technology in Smart Home Care (pp. 145-148). [8686747] (Proceedings of ICAITI 2018 - 1st International Conference on Applied Information Technology and Innovation: Toward A New Paradigm for the Design of Assistive Technology in Smart Home Care). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAITI.2018.8686747