The choice of a dissimilarity measure between curves is a key point for clustering functional data. In this paper we propose to obtain the granulometric distribution functions of the original curves and then calculate the dissimilarities between the new functional data. Good results have been obtained with two real examples.
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Ayala, G., Gaston, M., Leon, T., Mallor, F. (2008). Measuring Dissimilarity Between Curves by Means of Their Granulometric Size Distributions. In: Functional and Operatorial Statistics. Contributions to Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2062-1_6
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DOI: https://doi.org/10.1007/978-3-7908-2062-1_6
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-2061-4
Online ISBN: 978-3-7908-2062-1
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