The The Use of Distance Blocks Representative to Avoid Empty Groups Due to Non-unique Medoids

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Authors

  • Kariyam Kariyam Jurusan Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Islam Indonesia, Indonesia & Jurusan Matematika, Fakultas MIPA, Universitas Gadjah Mada, Indonesia
  • Abdurakhman Abdurakhman Jurusan Matematika, Fakultas MIPA, Universitas Gadjah Mada, Indonesia
  • Adhitya Ronnie Effendie Jurusan Matematika, Fakultas MIPA, Universitas Gadjah Mada, Indonesia

DOI:

https://doi.org/10.59188/eduvest.v2i10.625

Keywords:

clustering, identical objects, accuracy

Abstract

The existence of identical objects in a data set is a necessity. This paper proposes a new indicator and procedure to obtain the initial medoids. The new algorithm guarantees no empty groups and identical objects in the same group, either in the initial or final groups. We use six real data sets to evaluate the proposed method and compare the results of other methods in terms of adjusted Rand index and clustering accuracy. The experiment results show that the performance of the proposed method is comparable with other methods

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Published

2022-10-20