Open AccessComputer ScienceMathematics

J. Jacques, C. Preda

2013.11.29Advances in Data Analysis and Classification

DOI: 10.1007/s11634-013-0158-y

tlooto Summary

Four groups of clustering algorithms for functional data are proposed, composed of methods which perform simultaneously dimensionality reduction of the curves and clustering, leading to functional representation of data depending on clusters.

Abstract

Abstract is not available.

Citation format

JACQUES, J.; PREDA, C. Functional data clustering: A survey. Advances in Data Analysis and Classification, 2013, 8: 231–255.