Literature Survey of Various Techniques of Documents Clustering

Roopam Mandloi, Khushboo Sawant, Swapnil Vyas
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Abstract

Clustering means that identical items are held together. Document clustering is an application of clustering, which refers to having related text records together. Document clustering plays a crucial role in the creation of search engines, where a document category is expected to be listed in the minimum answer period as a result of the query. Document clustering is critical in terms of the final objective of tracking membership, rundown, collection of subjects and data retrieval in a competent manner. First the designation is related to the upgrading of data recovery procedures. Recently, clustering techniques have been related in the regions, which involve browsing the gathered knowledge or ordering the findings of the web indices to address the query posed by the clients. This paper elaborates on the idea of document cum text clustering. This paper would include a survey of recent work in the area of text clustering. This paper would also include a critical analysis of current text clustering techniques.
文献综述:各种文献聚类技术
聚类意味着将相同的项目放在一起。文档聚类是聚类的一种应用,是指将相关的文本记录放在一起。文档聚类在搜索引擎的创建中起着至关重要的作用,在搜索引擎中,文档类别预计会在查询的最短回答时间内列出。文档聚类对于以适当的方式跟踪成员、概要、主题收集和数据检索的最终目标至关重要。首先,这个名称与数据恢复程序的升级有关。近年来,聚类技术在该领域得到了广泛的研究,它涉及到浏览收集到的知识或对web索引的结果进行排序,以解决客户端提出的查询。本文阐述了文档和文本聚类的思想。本文将对文本聚类领域的最新工作进行综述。本文还将包括对当前文本聚类技术的批判性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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