Mathematics – Statistics Theory
Scientific paper
2006-10-19
Neurocomputing 63 (01/2005) 193-207
Mathematics
Statistics Theory
Special issue ESANN 03
Scientific paper
10.1016/j.neucom.2004.04.011
The Kohonen algorithm (SOM, Kohonen,1984, 1995) is a very powerful tool for data analysis. It was originally designed to model organized connections between some biological neural networks. It was also immediately considered as a very good algorithm to realize vectorial quantization, and at the same time pertinent classification, with nice properties for visualization. If the individuals are described by quantitative variables (ratios, frequencies, measurements, amounts, etc.), the straightforward application of the original algorithm leads to build code vectors and to associate to each of them the class of all the individuals which are more similar to this code-vector than to the others. But, in case of individuals described by categorical (qualitative) variables having a finite number of modalities (like in a survey), it is necessary to define a specific algorithm. In this paper, we present a new algorithm inspired by the SOM algorithm, which provides a simultaneous classification of the individuals and of their modalities.
Cottrell Marie
Letr{é}my Patrick
No associations
LandOfFree
How to use the Kohonen algorithm to simultaneously analyse individuals in a survey does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with How to use the Kohonen algorithm to simultaneously analyse individuals in a survey, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and How to use the Kohonen algorithm to simultaneously analyse individuals in a survey will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-12808