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What is Pattern Recognition in Machine Learning about?

Chapter 4 discusses pattern recognition as a machine learning application, emphasizing its role in identifying data patterns through supervised and unsupervised methods. It covers key concepts such as pattern classes, preprocessing, feature selection, and the K-means clustering algorithm, detailing how to classify data points based on their proximity to centroids. The chapter also explains the evaluation of clustering effectiveness using metrics like Sum of Squared Error (SSE).

Author

Anitha Sakthivel

Language

EN