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Paragraph Selection Methods Using Feature-Based on Segment-Based Clustering Process Using Paragraphs for Identifying Topics on Indication Detection of Plagiarism System

机译:基于特征的段落选择方法基于段的聚类过程使用段落识别of窃系统指示检测的主题

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In segment-based clustering, the paragraphs selection as a dataset in the clustering process has a very important role. This is because the paragraph used as the dataset can affect the clustering result. This research uses paragraph selection using feature-based method which aims to optimize the clustering process conducted in the previous research. Based on the evaluation results using Silhouette Coefficient and Sum Square Errors evaluation methods to find the proper k value, it is found that with the utilization of Feature-based method, better results can be acquire compared to the evaluation result from the previous research.
机译:在基于段的聚类中,将段落选择作为聚类过程中的数据集具有非常重要的作用。这是因为用作数据集的段落可能会影响聚类结果。本研究使用基于特征的方法选择段落,旨在优化先前研究中进行的聚类过程。根据使用轮廓系数和和平方误差评估方法的评估结果找到合适的k值,发现与基于先前研究的评估结果相比,使用基于特征的方法可以获得更好的结果。

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