Entropy-Aware Similarity for Balanced Clustering: A Case Study With Melanoma Detection
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DOI: 10.1109/access.2023.3275561
Abstract: Clustering data is an unsupervised learning approach that aims to divide a set of data points into multiple groups. It is a crucial yet demanding subject in machine learning and data mining. Its successful applications… read more here.
Keywords: similarity; melanoma; aware similarity; entropy ... See more keywords