Ensemble Learning Framework with GLCM Texture Extraction for Early Detection of Lung Cancer on CT Images

Algorithm 1.

Step 1: Find cluster center - let it be “c”.

Step 2: Compute Euclidean distance.

Step 3: Assign every pixel to the appropriate pixel by checking the minimum Euclidean distance between pixel and cluster.

Step 4: If all pixel segregation is done, then again calculate the new cluster center using the k-means formula.

Step 5: Repeat steps 2 to 4 until the end condition is encountered.