47 citations · 152 across the 7 of their papers we have counts for
7 papers
How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: application to text mining
Nicolas Bourgeois, Marie Cottrell, Benjamin Déruelle +2
This article is an extended version of a paper presented in the WSOM'2012 conference [1]. We display a combination of factorial projections, SOM algorithm and graph techniques appl…
Consumer Profile Identification and Allocation
Patrick Letrémy, Marie Cottrell, Eric Esposito +2
We propose an easy-to-use methodology to allocate one of the groups which have been previously built from a complete learning data base, to new individuals. The learning data base…
Missing values : processing with the Kohonen algorithm
Marie Cottrell, Patrick Letrémy
The processing of data which contain missing values is a complicated and always awkward problem, when the data come from real-world contexts. In applications, we are very often in…
On the use of self-organizing maps to accelerate vector quantization
Eric De Bodt, Marie Cottrell, Patrick Letrémy +1
Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantified (or classified) either on the same location or on neig…
Working times in atypical forms of employment: the special case of part-time work
Patrick Letrémy, Marie Cottrell
In the present article, we attempt to devise a typology of forms of part-time employment by applying a widely used neuronal methodology called Kohonen maps. Starting out with data…
How to use the Kohonen algorithm to simultaneously analyse individuals in a survey
Marie Cottrell, Patrick Letrémy
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…