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SOMwise regression: A new clusterwise regression method

Abstract:

We present a novel neural learning architecture for regression data analysis. It combines, at the high level, a self-organizing map (SOM) structure, and, at the low level, a multilayer perceptron at each unit of the SOM structure. The goal is to build a clusterwise regression model, that is, a model recognizing several clusters in the data, where the dependence between predictors and response is variable (typically within some parametric range) from cluster to cluster. The proposed algorithm,...

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Publisher copy:
10.1007/s00521-011-0536-3

Authors


Muruzábal, J More by this author
Vidaurre, D More by this author
Sánchez, J More by this author
Journal:
Neural Computing and Applications
Volume:
21
Issue:
6
Pages:
1229-1241
Publication date:
2012-09-05
DOI:
EISSN:
1433-3058
ISSN:
0941-0643
URN:
uuid:5a7fe9d2-16c5-4409-9277-0d3019a87f42
Source identifiers:
364674
Local pid:
pubs:364674

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