Extending the Growing Hierarchical Self Organizing Maps for a Large Mixed-Attribute Dataset Using Spark MapReduce

Extending the Growing Hierarchical Self Organizing Maps for a Large Mixed-Attribute Dataset Using Spark MapReduce

In this thesis work, we propose a Map-Reduce variant of the Growing Hierarchical Self Organizing Map (GHSOM) called MR-GHSOM, which is capable of handling mixed attribute datasets of massive size. The Self Organizing Map (SOM) has proved to be a useful unsupervised data analysis algorithm. It projec...

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Bibliographic Details
Main Author: Malondkar, Ameya Mohan
Other Authors: Japkowicz, Nathalie
Language:en
Published: Université d'Ottawa / University of Ottawa 2015
Subjects:
Self Organizing Map
Map-Reduce
Growing Hierarchical Self Organizing Map
GHSOM
SOM
Apache Spark
Online Access:http://hdl.handle.net/10393/33385
http://dx.doi.org/10.20381/ruor-3996

Internet

http://hdl.handle.net/10393/33385
http://dx.doi.org/10.20381/ruor-3996

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