[ABE-L] Seminarios em High Dimensional Data

[Ronaldo Dias]

Cari$simos(as),

Seminário em High Dimensional Data
sala 221, quarta-feira as 13hs. IMECC-UNICAMP

Título:
​Discussion on ​
Unsupervised Curve Clustering
​.​
We'll start discussing the paper of:  Abraham, Cornillon, Matzner-Lober and
Molinari. *Scandinavian Journal of Statistics*

​
a
​bstract​:

Data in many different fields come to practitioners through a process
naturally described as functional. Although data are gathered as finite
vector and may contain measurement errors, the functional form have to be
taken into account. We propose a clustering procedure of such data
emphasizing the functional nature of the objects. The new clustering method
consists of two stages: fitting the functional data by B-splines and
partitioning the estimated model coefficients using a *k*-means algorithm.
Strong consistency of the clustering method is proved and a real-world
example from food industry is given.


-- 
Ronaldo Dias
Professor
Dept. of Statistics-IMECC, UNICAMP
www.ime.unicamp.br/~dias
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