期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：11
页码：20105
DOI：10.15680/IJIRSET.2016.0511113
出版社：S&S Publications
摘要：As the number of hypertext documents are increasing continuously day by day on world wideweb. Therefore, clustering methods will be required to bind documents into the clusters (repositories) accordingto the similarity lying between the documents. Various clustering methods exist such as: Hierarchical Based,K-means, Fuzzy Logic Based, Centroid Based etc. These keyword based clustering methods takes much moreamount of time for creating containers and putting documents in their respective containers. These traditionalmethods use File Handling techniques of different programming languages for creating repositories andtransferring web documents into these containers. In contrast, openstack4j SDK is a new technique forcreating containers and shifting web documents into these containers according to the similarity in much moreless amount of time as compared to the traditional methods. Another benefit of this technique is that thisSDK understands and reads all types of files such as jpg, html, pdf, doc etc. This paper compares the timerequired for clustering of documents by using openstack4j and by traditional methods and suggests varioussearch engines to adopt this technique for clustering so that they give result to the user queries in lessamount of time.
