I am doing cluster analysis, and I am interested in using data that constitutes n vectors of m independent variables each. I have played around with the examples, but the sample data is a control chart (i.e. each column in a row is the output of a specific function).
For example, I could have 100 rows with 3 columns each where a column is an independent variable (1245, 22, 451.23 for example). All the values have meaning when taken as a whole, but 1245 does not have any direct correlation to 22. I do not know how many clusters there are. Is there a better clustering method to use besides meanshift? -- View this message in context: http://n3.nabble.com/Clustering-approach-tp716743p716743.html Sent from the Mahout User List mailing list archive at Nabble.com.
