The Initialization of Flexible K-Medoids Partitioning Method Using a Combination of Deviation and Sum of Variable Values

The Initialization of Flexible K-Medoids Partitioning Method Using a Combination of Deviation and Sum of Variable Values

This research proposed a new algorithm for clustering datasets using the Flexible K-Medoids Partitioning Method. The procedure is divided into two phases, selecting the initial medoids and determining the partitioned dataset. The initial medoids are selected based on the block representation of a co...

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書目詳細資料
Main Authors:	Kariyam, Kariyam, Abdurakhman, Abdurakhman, Subanar, Subanar, Utami, Herni
格式:	Other NonPeerReviewed
語言:	English
出版:	Mathematics and Statistics 2022
主題:	Pure Mathematics
在線閱讀:	https://repository.ugm.ac.id/284229/1/114.The-Initialization-of-Flexible-KMedoids-Partitioning-Method-Using-a-Combination-of-Deviation-and-Sum-of-Variable-ValuesMathematics-and-Statistics.pdf https://repository.ugm.ac.id/284229/ https://www.researchgate.net/publication/363548019_The_Initialization_of_Flexible_K-Medoids_Partitioning_Method_Using_a_Combination_of_Deviation_and_Sum_of_Variable_Values
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