Automatic classification in the case of unknown number of clusters using global density estimates |
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Authors: | L. Schü ler,H. Wolff |
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Abstract: | A clustering algorithm using a nonparametric density gradient estimate based on a trigonometric series expansion approach is investigated. The Mean-Integrated-Square-Error will be evaluated, conditions for consistency and a stopping rule for the number of terms needed in the series expansion are given. An example demonstrates the utility of the method. |
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Keywords: | Cluster analysis density estimation |
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