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Performance analysis in text clustering using k-means and k-medoids algorithms for Malay crime documents.

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Title: Performance analysis in text clustering using k-means and k-medoids algorithms for Malay crime documents.
Authors: Mohemad, Rosmayati1, rosmayati@umt.edu.my, Muhait, Nazratul Naziah Mohd1, nazz1799@gmail.com, Noor, Noor Maizura Mohamad1, maizura@umt.edu.my, Othman, Zulaiha Ali2, zao@ukm.edu.my
Source: International Journal of Electrical & Computer Engineering (2088-8708); Oct2022, Vol. 12 Issue 5, p5014-5026, 13p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>; Oct2022, Vol. 12 Issue 5, p5014-5026, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158378716
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.11591/ijece.v12i5.pp5014-5026
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 5014
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      – TitleFull: Performance analysis in text clustering using k-means and k-medoids algorithms for Malay crime documents.
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            NameFull: Mohemad, Rosmayati
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            NameFull: Muhait, Nazratul Naziah Mohd
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            NameFull: Noor, Noor Maizura Mohamad
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            NameFull: Othman, Zulaiha Ali
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          Dates:
            – D: 01
              M: 10
              Text: Oct2022
              Type: published
              Y: 2022
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              Value: 20888708
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              Value: 12
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              Value: 5
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            – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708)
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