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Performance analysis of single and complete link during Agglomerative clustering of question papers by tagging the questions and trend analysis using single link

机译:通过标记问题和使用单链接的趋势分析,在试卷的聚集聚类中对单个和完整链接的性能分析

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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.
机译:本文通过使用单个和完整链接的聚集聚类方法,通过标记每篇论文的问题来讨论有关聚类试卷的问题。论文清楚地显示了在不同迭代中聚类的纸张数量,完全聚类的纸张所花费的时间以及最终的聚类结果。聚类是基于欧氏距离度量进行相似度计算的。本文还演示了使用单链接进行聚类后的趋势。

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