Advertisement
Published in:
2008 | OriginalPaper | Chapter
Supervised Classification for Functional Data: A Theoretical Remark and Some Numerical Comparisons
Authors : Amparo Baíllo, Antonio Cuevas
Published in: Functional and Operatorial Statistics
Publisher: Physica-Verlag HD
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
The nearest neighbors (
k
-NN) method is a simple, easy to motivate procedure for supervised classification with functional data. We first consider a recent result by Cerou and Guyader (2006) which provides a sufi- cient condition to ensure the consistency of the
k
-NN method. We give some concrete examples in which such condition is fulfilled. Secondly, we show the results of a comparative study, performed via simulations and some real-data examples, involving the
k
-NN procedure (as a “benchmark choice”) together with other some recently proposed methods for functional classification.