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Hierarchical Clustering

Types of Hierarchical Clustering 1.

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Character Recognition Using ART NetworkDefinition Character Recognition using an Adaptive Resonance Theory (ART) Network involves the application of ART models to the task of identifying and classifying handwritten or printed characters. ART networks are particularly suited for this task due to their ability to learn incrementally, handle noisy data, and maintain stability in learning new patterns without forgetting previously learned ones. Key Concepts Incremental Learning*: ART networks can learn new character patterns one by on Unit V - Data Analytics and Model EvaluationOverview Objective**: DS-U5-Objective Syllabus Topics * Clustering Algorithms: K-Means, Hierarchical Clustering, Time-series analysis. * Introduction to Text Analysis: Text-Preprocessing, Bag of Words (BoW), TF-IDF and topics. * Need and Introduction to social network analysis, Introduction to business analysis. * Model Evaluation and Selection: Metrics for Evaluating Classifier Performance, Holdout Method and Random Sub sampling, Parameter Tuning and Optimisation, Result Interpretation, * Cl

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