Initial Free Self-Organizing Map by Aggregation

نویسنده:
, , ,
سال
: 2013
چکیده: Initialization parameters of Self-organizing map networks (SOM) have a great influence in

their final result. This is the only known problem of SOM networks. The uncertainty of

solution is resolved with the fusion methods in many machine learning algorithms. Motivated

by this application, we aim to reduce the uncertainty in SOM final result and provide a more

robust solution. This is done by aggregating the results obtained from several run of SOM

network. The objective in uniting several SOM run is to reduce the effect of two above factors

and reach a more appropriate solution. To achieve this, a number of methods for integration

of SOM solutions have been proposed and their characteristics are discussed in detail.

Finally, these approaches are experimentally compared with some recently proposed SOM

networks and their effectiveness are investigated.
کلیدواژه(گان): Self-Organizing Map,Clustering Fusion,Initial Network,Data Sequence,Robustness,Cluster Validity
کالکشن :
  • نمایش متادیتا
  • آمار بازدید