Fuzzy Objective Function-Based Technique of Partial Supervision for a Heuristic Method of Possibilistic Clustering
نویسنده
چکیده
The paper presents a technique of constructing of a set of labeled objects for using in a heuristic method of possibilistic clustering with partial supervision. The technique is based on the data preprocessing using fuzzy objective function-based clustering procedures. An illustrative example of the technique using and partial supervised method’s application to the Sneath and Sokal’s two-dimensional data in comparison with the expert’s method of partial supervision is carried out. Preliminary conclusions are formulated.
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تاریخ انتشار 2011