Trajectories of compositional data are sequences of composition measurements along a domain and can be considered as functional data. Functional Cluster Analysis (FCA) has been applied by practitioners and scientists in many fields but, to our knowledge, it has not been extended to cope with the problem of clustering compositional data trajectories. In this work, we extend FCA techniques to the analysis of compositional data by using a suitable compositional algebra. An application to a case-study is sketched.

Bruno F., Cocchi D., Greco F. (2009). Functional cluster analysis for compositional data. PADOVA : CLEUP.

Functional cluster analysis for compositional data

BRUNO, FRANCESCA;COCCHI, DANIELA;GRECO, FEDELE PASQUALE
2009

Abstract

Trajectories of compositional data are sequences of composition measurements along a domain and can be considered as functional data. Functional Cluster Analysis (FCA) has been applied by practitioners and scientists in many fields but, to our knowledge, it has not been extended to cope with the problem of clustering compositional data trajectories. In this work, we extend FCA techniques to the analysis of compositional data by using a suitable compositional algebra. An application to a case-study is sketched.
2009
Proceedings of Classification and Data Analysis 2009, Book of Short Papers
441
444
Bruno F., Cocchi D., Greco F. (2009). Functional cluster analysis for compositional data. PADOVA : CLEUP.
Bruno F.; Cocchi D.; Greco F.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/82195
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