منابع مشابه
Clustering Functional Data Using Wavelets
We present two strategies for detecting patterns and clusters in high-dimensional timedependent functional data. The use on wavelet-based similarity measures, since wavelets are well suited for identifying highly discriminant local time and scale features. The multiresolution aspect of the wavelet transform provides a time-scale decomposition of the signals allowing to visualize and to cluster ...
متن کاملClustering Functional Data using Wavelets
This paper presents a method for effectively detecting patterns and clusters in high dimensional time-dependent functional data. It is based on waveletbased similarity measures since wavelets are ideal for identifying highly discriminant local time and scale features. We consider the contribution of each scale to the global energy, in the orthogonal wavelet transform of each input function to g...
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Model-based clustering is considered for Gaussian multivariate functional data as an extension of the univariate functional setting. Principal components analysis is introduced and used to define an approximation of the notion of density for multivariate functional data. An EM like algorithm is proposed to estimate the parameters of the reduced model. Application on climatology data illustrates...
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ژورنال
عنوان ژورنال: International Journal of Wavelets, Multiresolution and Information Processing
سال: 2013
ISSN: 0219-6913,1793-690X
DOI: 10.1142/s0219691313500033