Clustering functional data with the SOM algorithm
نویسندگان
چکیده
In many situations, high dimensional data can be considered as sampled functions. We show in this paper how to implement a Self-Organizing Map (SOM) on such data by approximating a theoretical SOM on functions thanks to basis expansion. We illustrate the proposed method on real world spectrometric data for which functional preprocessing is very successful.
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تاریخ انتشار 2004