Research Article
Medical Image Segmentation Using Fruit Fly Optimization and Density Peaks Clustering
| 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 |
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