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— By taking advantage of both k-NN which is highly accurate and K-means cluster which is able to reduce the time of classification, we can introduce Cluster-k-Nearest Neighbor as " variable k "-NN dealing with the centroid or mean point of all subclasses generated by clustering algorithm. In general the algorithm of K-means cluster is not stable, in term of(More)
Counts of the lesion are typically required for the severity assessment of acne lesion. Localization of the lesions is first step for counting the lesions. Template matching approach has been widely used for locating the correlated object especially a face in an image. Here we have applied the same approach for localizing the acne lesion. It is a novel(More)
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