I'm a Ph.D. Candidate in Machine Learning, specializing in Pattern Recognition. With a background in Applied & Business Mathematics and experience as an ML Engineer, I am committed to developing innovative machine learning solutions that bridge theory and practical applications.
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A silhouette-guided instance-weighted centroid-based algorithm that integrates silhouette scores into the clustering process to improve clustering quality.
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A clustering evaluation metric that combines micro- and macro-averaged silhouette scores using statistical weighting for more reliable quality assessment.