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If the task is classifying documents, what is the intuitive difference between LDA, and other simple classifier such as Naive Bayes, or decision tree? Assume that we feed to all algorithms the same term document matrix. |
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If the task is classifying documents, what is the intuitive difference between LDA, and other simple classifier such as Naive Bayes, or decision tree? Assume that we feed to all algorithms the same term document matrix. |
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Asked: May 15 '14 at 14:14
Seen: 365 times
Last updated: May 15 '14 at 16:50
Think of LDA like clustering, which means, no labels are needed. On the other hand, at LDA you should expect to be able to define what a cluster means by setting separation thresholds.