Unsupervised learning is a machine learning approach where the algorithm is tasked with identifying patterns, relationships, or structures within unlabeled data, without explicit guidance in the form of predefined output labels.
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ML clustering groups similar data points, revealing patterns without predefined labels. It organizes data into meaningful clusters, aiding exploration and understanding inherent structures for informed decision-making.
aminawasiq/Unsupervised-ML
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ML clustering groups similar data points, revealing patterns without predefined labels. It organizes data into meaningful clusters, aiding exploration and understanding inherent structures for informed decision-making.
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