Medical Image Segmentation Using Fruit Fly Optimization and Density Peaks Clustering

Algorithm 1

DPC Algorithm.

	Input: Dataset , cutoff distance
	Output: Clustering result of dataset and category labels of the sample.
(1)	Begin
(2)	Initial: Specify the cutoff distance
(3)	Sort sample points in descending order of density
(4)	Calculate the distance between data points and the number of data points within the cutoff distance , draw a decision graph.
(5)	Clusternumber = k % Manually select cluster centers k
(6)	For to
(7)	If
(8)	Clusteri = Clusterj; % Select the point with large and as the clustering center
(9)	Else
(10)	Clusteri = ; %Assign the remaining points to the closest cluster in descending order of density
(11)	End If
(12)	End For
(13)	End