From Metadata to Fuzzy Knowledge Representation
نویسنده
چکیده
Abstract: In this paper we present an approach to organize Web-accessible courseware according to knowledge domains, by means of fuzzy clustering. A new modified version of the Fuzzy C-Means clustering algorithm that employs a non-Euclidean metric is proposed and some preliminary trials with the new metric are presented. The experimental results show that the modified algorithm performs better than the original and that it fulfils the requirements of our Internet-based teaching and learning application.
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تاریخ انتشار 2001