Gaussian Mixture Model as an Effective Approach for Soft Clustering and Outlier Detection in Health Data.

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Title: Gaussian Mixture Model as an Effective Approach for Soft Clustering and Outlier Detection in Health Data.
Authors: Rochayani, Masithoh Yessi1, yessi.rochayani@live.undip.ac.id, Warsito, Budi1, budiwarsito@live.undip.ac.id, Suparti, Suparti1, suparti@live.undip.ac.id, Kartikasari, Puspita1, puspitakartikasari@live.undip.ac.id, Sa'adah, Umu2, u.saadah@ub.ac.id
Source: IAENG International Journal of Computer Science; May2026, Vol. 53 Issue 5, p1697-1705, 9p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193482026
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Gaussian Mixture Model as an Effective Approach for Soft Clustering and Outlier Detection in Health Data.
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RecordInfo BibRecord:
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    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 9
        StartPage: 1697
    Titles:
      – TitleFull: Gaussian Mixture Model as an Effective Approach for Soft Clustering and Outlier Detection in Health Data.
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            NameFull: Rochayani, Masithoh Yessi
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            NameFull: Warsito, Budi
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            NameFull: Suparti, Suparti
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            NameFull: Kartikasari, Puspita
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 53
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