Comparison between fuzzy kernel c-means, fuzzy kernel possibilistic c-means and support vector machines in soft tissue tumor classification

Zuherman Rustam, Sri Hartini, Titin Siswantining, Dea Aulia Utami, Nadisa Karina Putri

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

Abstract

Soft Tissue Tumor (STT) are cell growths, whose existence are not limited to the presence of tumors in soft tissues. Furthermore, they are classified into soft tissue and non-soft tissue tumor and early detection is important to determine the right course of treatment. This research, therefore, aims to compare fuzzy kernel c-means, fuzzy kernel possibilistic c-means and support vector machines on Soft Tissue Tumor dataset, obtained from Nur Hidayah Hospital, Yogyakarta, Indonesia, consisting of 50 STT and 25 non-STT samples. The results conclude that fuzzy kernel c-means provides a better running time when using the parameter σ = 0.05. However, support vector machines, with the parameter σ = 0.0001 performs better than other methods in terms of accuracy, sensitivity, precision, and F1-Score.

Original languageEnglish
Title of host publicationAdvanced Intelligent Systems for Sustainable Development, AI2SD 2019 - Volume 2 - Advanced Intelligent Systems for Sustainable Development Applied to Agriculture and Health
EditorsMostafa Ezziyyani
PublisherSpringer
Pages92-105
Number of pages14
ISBN (Print)9783030366636
DOIs
Publication statusPublished - 1 Jan 2020
Event2nd International Conference on Advanced Intelligent Systems for Sustainable Development, AI2SD 2019 - Marrakech, Morocco
Duration: 8 Jul 201911 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1103 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference2nd International Conference on Advanced Intelligent Systems for Sustainable Development, AI2SD 2019
CountryMorocco
CityMarrakech
Period8/07/1911/07/19

Keywords

  • Classification
  • Fuzzy kernel C-Means
  • Fuzzy possibilistic C-Means
  • Kernel function
  • Soft tissue tumor
  • Support vector machines

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    Rustam, Z., Hartini, S., Siswantining, T., Utami, D. A., & Putri, N. K. (2020). Comparison between fuzzy kernel c-means, fuzzy kernel possibilistic c-means and support vector machines in soft tissue tumor classification. In M. Ezziyyani (Ed.), Advanced Intelligent Systems for Sustainable Development, AI2SD 2019 - Volume 2 - Advanced Intelligent Systems for Sustainable Development Applied to Agriculture and Health (pp. 92-105). (Advances in Intelligent Systems and Computing; Vol. 1103 AISC). Springer. https://doi.org/10.1007/978-3-030-36664-3_11