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Image of PERBANDINGAN RENTANG DATA METRIC PADA ALGORITMA WARD’S TERHADAP DATA CLUSTERING

Skripsi

PERBANDINGAN RENTANG DATA METRIC PADA ALGORITMA WARD’S TERHADAP DATA CLUSTERING

Sena, Akhmad - Personal Name;

Penilaian

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Penilaian anda saat ini :  

Clustering is a branch of data mining methodology which objective is to cluster multiple objects to form a group of different clusters, some of the algorithm that have been applied in this methodology is Ward’s. In the application of clustering method, a lot of factor can affect the results of cluster, one of them is distance vector method which might affect the cluster result by a huge margin. In Ward’s algorithms, the use of Euclidean distance often gives better cluster results with relatively lower DBI index score compared to when using another distance vector methods.


Availability
Inventory Code Barcode Call Number Location Status
2107002683T56462T564622021Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T564622021
Publisher
Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021
Collation
xxi, 68 hlm,: ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
004.07
Content Type
Text
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Pemrosesan Data, Teknik Informatika
Prodi Teknik Informatika
Specific Detail Info
-
Statement of Responsibility
MURZ
Other version/related

No other version available

File Attachment
  • PERBANDINGAN RENTANG DATA METRIC PADA ALGORITMA WARD’S TERHADAP DATA CLUSTERING
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