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What is Classification about?

The document discusses classification in data mining, focusing on supervised and unsupervised learning methods. It explains the process of building classification models using labeled data, particularly through decision trees, and highlights concepts such as entropy and Gini index for measuring purity in data sets. Additionally, it introduces nearest neighbor classifiers and their reliance on proximity metrics to classify unknown records based on labeled training data.

Author

mohammad.moghrby2002

Language

EN