Archive | 2019
A Comparison-Based Soft Clustering Algorithm for Documents
Abstract
Some search engines have pre-defined subjects that are used to categorize the output (for instance, yahoo.com). However, few search engines provide a dynamic clustering mechanism – i.e. clustering algorithms that are applied only to the resulting documents of the query. We believe that this is an important service for any search engine over the Web and is highly beneficial to users. Thus, in this paper we explore dynamic clustering for documents.