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Engineered assembly may be treated mathematically as a clustering problem, in which cluster analysis hinges critically on the relationships between objects and attributes. This paper explores an analogical approach, via the evaluation of relationships against conventional assembly means, to derive and reveal the necessary relationships in collaborative virtual assembly. The inherent relationships...
Extracting useful information from user generated text on the web is an important ongoing research in natural language processing, machine learning, and data mining. Online tools like emails, news groups, blogs, and web forums provide an effective communication platform for millions of users around the globe and also provide an added advantage of anonymity. Millions of people post information on different...
The popularity of the Internet has caused a massive increase in the amount of Web pages. The information explosion has led to a growing challenge for information retrieval systems. Document clustering becomes an important process for helping the information retrieval systems organize this vast amount of data. It is believed that grouping similar documents together into clusters will help the users...
Clustering techniques have been used by many intelligent software agents in order to retrieve, filter, and categorize documents available on the World Wide Web. Clustering is also useful in extracting salient features of related Web documents to automatically formulate queries and search for other similar documents on the Web. Traditional clustering algorithms either use a priori knowledge of document...
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