O'Reilly logo

Neural Network Programming with Java by Fábio M. Soares, Alan M.F. Souza

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Implementation in Java

In this section, we will explore the application of a Kohonen neural network to customer clustering on the basis of the customer information collected from Proben1 (Card dataset).

Card credit analysis for customer profiling

The Card dataset is composed of 16 variables in total. Fifteen are inputs, and one is an output variable. For security reasons, all variable names have been changed to meaningless symbols. This dataset brings a good mix of variable types (continuous, categorical with small values, and categorical with larger values). The following table shows a summary of the data:

Variable

Type

Values

V1

OUTPUT

-1; 1

V2

INPUT #1

b, a

V3

INPUT #2

continuous

V4

INPUT #3

continuous

V5

INPUT #4

u, y,

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required