Renato Cordeiro de Amorim
PulseAugur coverage of Renato Cordeiro de Amorim — every cluster mentioning Renato Cordeiro de Amorim across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New criterion optimizes k-means++ restarts using data difficulty
Researchers have developed a new criterion called GTRC for the k-means++ algorithm to determine the optimal number of restarts. This method uses a Good-Turing estimate and confidence bounds to dynamically adjust restart…
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New Shapley-inspired k-means algorithm enhances feature weighting
Researchers have developed SHARK (Shapley Reweighted k-means), a novel feature-weighting method for clustering algorithms that avoids the need for additional hyperparameter tuning. This approach leverages Shapley values…
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New CAFE method improves feature extraction using weighted k-means
Researchers have developed a new method called Cluster-Adaptive Feature Extraction (CAFE) that enhances unsupervised feature extraction. CAFE utilizes Minkowski weighted k-means ($mwk$-means) to adaptively weight featur…