文档聚类采用量子聚类算法

Rupam Bhagawati, Sahinur Rahman Laskar, Bhagaban Swain
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引用次数: 4

摘要

在量子信息处理(QIP)领域,量子聚类方法在信息处理中起着至关重要的作用。量子聚类技术主要用于提供有效的信息导航和浏览机制。文献聚类有很多经典的方法,如k均值聚类算法、层次聚类算法、信息瓶颈聚类算法等。本文提出了一种基于量子理论的聚类方法。对于文档的聚类,与已有的经典聚类方法进行了比较,得到了令人满意的聚类结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Documents clustering using quantum clustering algorithm
In the domain of Quantum Information processing (QIP), quantum clustering approach plays a vital role for processing information. The quantum clustering technique is basically used for providing effective information navigation and browsing mechanism. There are many classical approach of clustering the documents like k-means clustering algorithm, hierarchical clustering algorithm, information bottleneck clustering algorithm and many more. In this paper we proposed a clustering method which is based on quantum theory. For clustering the documents, such that which provides an agreeable result in comparison of existing classical approach.
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