Neural Data Analysis (NDA)
A generally applicable software kernel for data analysis and data mining
tasks.
The NDA provides a large set of methods for data manipulation,
data reduction, data visualization and decision making.
SOM based data analysis
Its best support has been addressed to the SOM
based data analysis.
The Software Architecture
The NDA is a portable software kernel.
-
It is independent of used operating systems and graphical environments:
It is easy to be ported for different operating systems (Windows,
Unix).
It can be used with different development environments (Java,
Motif, Excel, Visual Basic,...).
-
The kernel can be easily tailored for different applications.
See more about the
architecture of the NDA.
Applications and examples
We have tested the NDA kernel in different applications. Here you can see
one of our test user interfaces implemented by Java: Java
tool
Documents
User's command reference: User's
Guide.
Distribution
Index
for distributed files (password needed)
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This page was last modified on October 26th, 1998 by Anssi
Lensu
