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Paragraph Selection Methods Using Feature-Based On Segment-Based Clustering Process Using Paragraphs For Identifying Topics On Indications Detection of Plagiarism System

Akbi, Denar Regata and Rosyadi, Arini Rahmawati (2018) Paragraph Selection Methods Using Feature-Based On Segment-Based Clustering Process Using Paragraphs For Identifying Topics On Indications Detection of Plagiarism System. KINETIK, 3 (2). pp. 91-100. ISSN 2503-2259

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Abstract

In segment-based clustering, the paragraphs selection as a data-set in the clustering process has a very important role. This is because the paragraph used as the data-set can affect the clustering result. In this research used the method of paragraph selection using feature-based, which aims to optimize the clustering process done in previous research. Based on evaluating using Silhouette Coefficient and Sum Square Errors evaluation methods to find the proper k value, it was found that with the use of Feature Based method, there was better result compared to the evaluation result from previous research.

Item Type: Article
Uncontrolled Keywords: Segment-Based Paragraphs Selection Feature-based Silhouette Coefficient Sum Square Errors
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering > Department of Informatics Engineering
Depositing User: Nur Ismah
Date Deposited: 14 May 2018 05:15
Last Modified: 31 Aug 2018 05:53
URI : http://eprints.umm.ac.id/id/eprint/36698

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