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Bayesian Hierachical Clustering for Bidikmisi Environment: Results of successful and unsuccessful scholarship cluster

  • Institut Teknologi Sepuluh Nopember
  • Universitas Muhammadiyah Surabaya

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

This research focuses on conducting Bidikmisi data clusters. Group analysis or cluster analysis is one of the multivariate techniques used with the aim of classifying an observation that has certain characteristics. This analysis groups observations into a group so that in one group there are similarities or homogeneity with each other. In contrast, intergroup is expected to have differences or heterogeneity. The clustering process uses the Bayesian Hierachical Clustering (BHC) approach, aiming to present a complete taxonomy of grouping evaluation measurements that will be used for empirical studies.

Original languageEnglish
Article number012092
JournalIOP Conference Series: Earth and Environmental Science
Volume469
Issue number1
DOIs
Publication statusPublished - 23 Apr 2020
Event2018 International Conference of Innovations on Environment, Technology in Society, ICE-Tech 2018 - Pekanbaru, Indonesia
Duration: 10 Aug 201811 Aug 2018

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