(1) Input: Data SET , Attribute Set ), Cluster Number (),
(2) Output: Clusters Seed-Set
(3) Begin
(4) While ()
   (4.1) Compute Standard Deviation () and Mean ()
   (4.2) Compute Cluster Center
    
   (4.3) Execute -means on this attribute
   (4.4) Allocate cluster labels obtained from Step  (4.3) to every data pattern
(5) Find unique patterns () and clustering each data with obtained patterns.
(6) Return SC
(7) End
Algorithm 1: Pseudocode of CCIA algorithm.