Masterclass Certificate in Clustering for Pattern Recognition
-- ViewingNowThe Masterclass Certificate in Clustering for Pattern Recognition is a comprehensive course that equips learners with essential skills in data analysis and machine learning. This certificate program focuses on the importance of clustering techniques in pattern recognition, enabling professionals to make data-driven decisions and drive innovation in their respective industries.
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โข Introduction to Clustering: Basic concepts, types of clustering, applications, and evaluation metrics.
โข Data Preprocessing: Data cleaning, normalization, transformation, and dimensionality reduction.
โข Partitioning Methods: K-means, K-medoids, and their variants.
โข Hierarchical Clustering: Agglomerative and divisive methods, linkage criteria, dendrograms, and visualization.
โข Density-Based Clustering: DBSCAN, OPTICS, and their extensions.
โข Fuzzy Clustering: Fuzzy C-means, possibilistic C-means, and their applications.
โข Subspace Clustering: Feature selection, subspace projections, and high-dimensional data clustering.
โข Ensemble Clustering: Cluster ensemble methods, consensus functions, and cluster stability.
โข Advanced Topics: Constrained clustering, streaming data clustering, and deep learning-based clustering.
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