Executive Development Programme in Clustering for Digital Transformation
-- ViewingNowThe Executive Development Programme in Clustering for Digital Transformation is a certificate course designed to equip professionals with the skills needed to drive digital transformation in their organizations. This program emphasizes the importance of clustering, a machine learning technique that segments data into distinct groups, for effective decision-making in the digital age.
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โข Introduction to Clustering: Defining clustering, its importance, and applications in digital transformation. Understanding different clustering techniques.
โข Data Preprocessing: Data cleaning, transformation, and normalization. Handling missing data and outliers. Feature selection and extraction.
โข Distance Measures: Understanding various distance measures such as Euclidean, Manhattan, and Minkowski. Choosing the right distance measure for specific clustering tasks.
โข Partitioning Methods: K-means, K-medoids, and hierarchical clustering. Choosing the optimal number of clusters. Evaluating clustering performance.
โข Density-based Methods: DBSCAN, OPTICS, and DENCLUE. Understanding their strengths and weaknesses. Clustering irregularly shaped clusters.
โข Hierarchical Methods: Agglomerative and divisive clustering. Linkage criteria and dendrograms. Merging and splitting clusters.
โข Fuzzy Clustering: Fuzzy C-means and possibilistic clustering. Handling uncertainty and overlapping clusters. Fuzzy clustering applications.
โข Ensemble Clustering: Combining multiple clustering algorithms for improved performance. Ensemble clustering techniques and evaluation.
โข Clustering for Digital Transformation: Real-world applications of clustering in digital transformation. Use cases in data analytics, marketing, and customer segmentation.
โข Ethics and Responsible Clustering: Data privacy, confidentiality, and security. Addressing biases and fairness in clustering.
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