Re: HELP!!!

On Nov 12, 3:34 pm, Greg Heath <he...@xxxxxxxxxxxxxxxx> wrote:
On Nov 12, 2:13 pm, "jenya polyakova" <jeny...@xxxxxxxxx> wrote:

I have three matrices a b and c of size 10x195
I need to perform some classification on the first raw of
these matrices. For example, k-means clustering would work
just fine. That is I would map really the first raw of
each matrix into 3-D space, and perform the classification.

For each cluster I need then to calculate the mean by
averaging over the values of the 11'th raw of matrix
a,band c.
Note, I do not have the kmeans in my matlab. Any
suggestions. THANKS

In general, clustering a mixture of multiple class data
via unsupervised clustering yields a suboptimal cluster
based classifier. However, cluster based classification
can be improved, significantly, if supervised clustering
using class labels, is used.

Effective versions of classifiers designed via supervised
clustering can be found by searching the acronyms
of ART, LVQ and RCE. However, I'm not sure if the
corresponding MATLAB code is readily available.


A simple alternative is just to cluster each class
separately and compare classification results with
classifiers created from clustering the multiclass mixture.

If you wish to search for MATLAB codes, the following
information may help:

Artificial Resonance Theory, Grossburg
Learning Vector Quantization, Kohonen
Reduced Coulomb Energy, Cooper
AKA
Restricted Coulomb Energy, Cooper

Hope this helps.

Greg


.

Relevant Pages

  • Re: finding the centre of a cluster
    ... for classification problems involves ... predictor variables are continuous, ... Clustering is an unstructured problem in which you DON'T KNOW even ... I have more experience with neural networks and decision trees than you do. ...
    (sci.stat.math)
  • Re: HELP!!!
    ... can be improved, significantly, if supervised clustering ... *If*, that is, the class labels are correct. ... The "Gold Standard" is classification by a trained experienced human ... classification methods have an accuracy significantly exceeding the ...
    (comp.soft-sys.matlab)
  • Re: HELP!!!
    ... I need to perform some classification on the first raw of ... and perform the classification. ... clustering a mixture of multiple class data ... can be improved, significantly, if supervised clustering ...
    (comp.soft-sys.matlab)
  • Re: assumption of Classification
    ... Most clustering algorithms (k-means, ... > A classification tree that tries to break at every value ... normality is not the only assumption to be checked. ...
    (sci.stat.edu)
  • Re: Prediction in clustering
    ... methods will be superior to clustering forced into predictive mode. ... > I wanted to compare two approaches (one is based on classification ... > techniques and the other based on clustering techniques) for a specific ... > "prediction in clustering"). ...
    (sci.stat.consult)
Loading