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洞見 - Machine learning, data analysis
Equilibrium K-Means: A Robust Clustering Algorithm for Imbalanced Data
Equilibrium K-Means (EKM) is a novel fuzzy clustering algorithm that is robust to imbalanced data by preventing centroids from crowding together in the center of large clusters.
Cognitive Deep Incomplete Multi-view Clustering Network (CDIMC-net): A Novel Approach for Efficient Incomplete Multi-view Data Analysis
CDIMC-net is a novel deep clustering network that effectively handles incomplete multi-view data by incorporating view-specific deep encoders, graph embedding, and a self-paced learning strategy to capture high-level features, preserve local structure, and reduce the negative influence of outliers.
