题目标注聚类过程中单链接和完整链接的性能分析以及单链接的趋势分析

Rasendu Mishra, N. Modi, Rushabh Shah
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引用次数: 1

摘要

本文通过对每篇试卷的问题进行标注,采用单链接和完整链接的凝聚聚类方法,对试题进行聚类。本文清楚地显示了在各种迭代中聚类的论文数量,完全聚类所花费的时间以及最终的聚类结果。聚类是基于欧几里得距离度量来进行相似性计算。本文还论证了单链路聚类后的趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of single and complete link during Agglomerative clustering of question papers by tagging the questions and trend analysis using single link
The paper discusses here about clustering question papers, by tagging the questions of each paper, using Agglomerative clustering methods using single and complete link. The paper clearly shows the number of papers clustered in various iterations, time consumed in clustering the papers completely and finally the clustering result. The clustering is done based on Euclidean Distance measures for similarity calculations. The paper also demonstrates the trend after clustering using single link.
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