CORR
2006
Springer
13 years 11 months ago
2006
Springer
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
CGF
2008
13 years 11 months ago
2008
Teaser Figure: Left: Brain, visualized using silhouettes, the lesion's spatial depth is displayed using a ring. Center: Combined rendering of brain tissue, skull and fiber tr...
ESANN
2004
14 years 28 days ago
2004
There has been recently a lot of interest for functional data analysis [1] and extensions of well-known methods to functional inputs (clustering algorithm [2], non-parametric model...
BIBE
2001
IEEE
14 years 3 months ago
2001
IEEE
Effective analysis of genome sequences and associated functional data requires access to many different kinds of biological information. For example, when analysing gene expressio...
ICDM
2006
IEEE
2006
IEEE
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
14 years 5 months ago
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...