7. kcluster( usage.py ) (module)

kClusterLib.usage.createClusters(**kwargs)

Creates fresh cluster on data. Takes keyword-arguments:

Parameters:

• npass (int (optional)) –
• to k-means algorithm(number of random seed initializations), DEFAULT is 2. (Input) –
• start_idx (int (optional)) –
• index for selecting values from database. Default is 1000 (End) –
• si (float (optional)) –
• parameter input to k-means clustering. Default is 0.5 (Separation) –
• kmax (int (optional)) –
• number of clusters. Input to the Optimum cluster finding function. (Maximum) –