TRAINING COURSE "KOHONEN MAPS in Data Mining"
Kohonen Maps enjoy a high level of popularity...in books. In the field, they are one of the least used, and yet standard techniques in Data Mining.
Whose fault is that ? Certainly not their fault, as they do very well that for which they were designed (dimensionality reduction). On top of that, they are now increasingly popular in clustering because of their unique "toplogy preservation" properties.
The reason may be found in the fact that, although they are now often found in Data Mining software, explanations given about their working principles remain somewhat obscure. It is about time that something is done about that, so that users can benefit form Kohonen Maps' quire remarkable properties.
This 1 day training course (see outline below) presents the basic working principles of Kohonen Maps, their applications, and how to use them efficiently.
What is a Kohonen Map doing ?
SOM and ACP : similarities and differences
How does a Kohonen Map work ?
Architecture of a Kohonen Map
Training algorithm of a Kohonen Map
How to measure the quality of a Kohonen Map
Applications of Kohonen Maps
Dimensionality reduction and multidimensional data visualization
Dimensionality reduction and data preprocessing. Classification as a special case
Neurons and micro-classes
From micro- to macro-classes
Typologie and map quality
Missing values estimation
Regression with a Kohonen Map
Identification of outliers with a Kohonen Map
Beyond Kohonen Maps
Curvilinear Components analysis (CCA)
Independant Components Analysis (ICA)