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Feature selection via MI (contd.)

  • For each category we build a list of k most discriminating terms.

  • For example (on 20 Newsgroups):

    • sci.electronics: circuit, voltage, amp, ground, copy, battery, electronics, cooling, …

    • rec.autos: car, cars, engine, ford, dealer, mustang, oil, collision, autos, tires, toyota, …

  • Greedy: does not account for correlations between terms

  • Why?


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