Global Certificate in Clustering Analysis for the Future
-- ViewingNowThe Global Certificate in Clustering Analysis for the Future is a comprehensive course designed to equip learners with the essential skills needed to excel in data analysis and machine learning. This course focuses on clustering analysis, a critical technique used to group similar data points, enabling data scientists to identify patterns and trends in large and complex datasets.
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โข Introduction to Clustering Analysis
โข Types of Clustering: Hard and Soft Clustering
โข Distance Metrics for Clustering: Euclidean, Manhattan, and Cosine Similarity
โข Hierarchical Clustering: Agglomerative and Divisive Approaches
โข Partitioning Methods: K-Means and K-Medoids
โข Density-Based Clustering: DBSCAN and OPTICS
โข Evaluation Metrics for Clustering: Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index
โข Real-World Applications of Clustering Analysis
โข Advanced Topics in Clustering: Fuzzy Clustering, Ensemble Clustering, and Streaming Clustering
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