I have a few sets of questions regarding outlier detection:

  1. Can we find outliers using k-means and is this a good approach?

  2. Is there any clustering algorithm which does not accept any input from the user?

  3. Can we use support vector machine or any other supervised learning algorithm for outlier detection?

  4. What are the pros and cons of each approach?

data-mining svm outliers
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