Research Article
Convalescing Cluster Configuration Using a Superlative Framework
Phase I: Discretization | Input: | Data objects of the Dataset with “” continuous attributes | Arity “” – the number of intervals (stopping condition) | Output: | Dataset with discretized values for attributes | (1) FOR each continuous valued feature in | (2) Repeat (3) to (7) until stopping condition is reached based on | (3) = Sort () based on | (4) Select the cut-point cp | (5) Evaluate cp | (6) IF cp not satisfied goto (4) | (7) Split | (8) Assign rank to the data points in (Quantile Binning) | (9) END FOR |
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