Clustering of Female Avatar Face Features Consumers Choice using KMeans and SOM Algorithm

Citra Dewi Megawati, Eko Mulyanto Yuniarno, Supeno Mardi Susiki Nugroho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Games are interactive activities that is popular with consumers. However, illustrators are unable to determine of characters face many chosen with consumers. The paper proposes a clustering of face features often chosen by consumers for their female avatars. The face features involved in this research are the face shape, eyebrows, eyes, nose, lips, ears and skin color. The paper uses two methods for clustering, KMeans and SOM. These methods used class partitioning based on shape similarities. Using the K-Means results, 14% chose a triangular face, then 16% chose an diamond face shape, 23% chosen a heart face shape, 6% chosen a round face shape, 23% chosen a oval face shape, 18% chosen a square face shape. Results from SOM shows that 18% chose a triangular face, then 11% chose an diamond face shape, 24% chosen a heart face shape, 22% chosen a round face shape, 12% chosen a oval face shape, 13% chosen a square face shape. It shows that KMeans has better performance than SOM in determining the female avatar face classes that are wanted by customers.

Original languageEnglish
Title of host publicationProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages366-370
Number of pages5
ISBN (Electronic)9781728137490
DOIs
Publication statusPublished - Aug 2019
Event2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019 - Surabaya, Indonesia
Duration: 28 Aug 201929 Aug 2019

Publication series

NameProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019

Conference

Conference2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
Country/TerritoryIndonesia
CitySurabaya
Period28/08/1929/08/19

Keywords

  • Algorithm
  • Avatar
  • Clustering
  • KMeans
  • SOM

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