Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt

Pseudocode 1

k-means using sequential execution.

	Input sample
	Kernel function:
	Phase no
(1)	Apply kernel function to transform the input sample
(2)	Compute distance matrix
(3)	List pattern to the cluster randomly using label matrix,
(4)	Change ← 0
(5)	Distance computation b/w each pattern w.r.t center of cluster)
	while change do
	for to do
	compute cluster size
	for to do
	compute distance of each pattern from the cluster using:
	end for
	end for
	Previous L = L
	update label L
	L = min. val of d along column
	if Previous L = L then
	change = 0
	end if
	end while