Convalescing Cluster Configuration Using a Superlative Framework

Algorithm 1

Steps in discretization.

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