I have some objects and I must make a group of some objects with known characteristics for each cluster before the analysis..
In class I study about cluster analysis but the characteristic of each cluster is known after it.
For example there are 20 students, and I want to make a group of some 'best' students , with characteristics : high GPA, tall, etc...
Thanks before..
You can check other dimensionality-reduction methods like principal components analysis and factor analysis
Look at possibilities like Artificial neural networks, discriminant analysis, and logistic regression. See the attached, Best, David
Hi Risqia,
The straightforward alternative is classification based cluster method. But, you could also consider the use of association rules technique.
HTH.
Samer
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