Local statistical modeling by cluster-weighted

We investigate statistical properties of Cluster-Weighted Modeling, which is a framework for supervised learning originally developed in order to recreate a digital violin with traditional inputs and realistic sound. The analysis is carried out in comparison with Finite Mixtures of Regression models...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2011-06
Main Authors: Ingrassia, Salvatore, Minotti, Simona C, Vittadini, Giorgio
Format: Article
Language:English
Subjects:
Clusters
Computer simulation
Regression analysis
Regression models
Statistical analysis
Statistical models
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We investigate statistical properties of Cluster-Weighted Modeling, which is a framework for supervised learning originally developed in order to recreate a digital violin with traditional inputs and realistic sound. The analysis is carried out in comparison with Finite Mixtures of Regression models. Based on some geometrical arguments, we highlight that Cluster-WeightedModeling provides a quite general framework for local statistical modeling. Theoretical results are illustrated on the ground of some numerical simulations.
ISSN:2331-8422