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Three important algorithms that use distance are: 2 shows a flowchart for knn algorithm. For selecting the most suitable number of neighbors (k), a sensitivity analysis for k is done which is shown in fig.
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Selecting the right number of clusters is important for meaningful segmentation to do this we use elbow method for optimal value of k in kmeans which is a graphical tool used. Calculate the distance from each sample point to its nearest known cluster center. The algorithm patches up holes in images by finding.
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In this paper we present a new image completion algorithm powered by a huge database of photographs gathered from the web.
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