Starting Series of Blogs On Outlier Detection

Will include various models used for Outlier Detection (Unsupervised Approaches) starting 25/04/20:

1. Simple Numeric Outlier

2. Z-Score

3. DBSCAN

4. Isolation Forest

5. KNN

6. Local Outlier Factor

7. K-means

8. Subspace-, correlation-based and tensor-based outlier detection

9. One-class support vector machines

10. Bayesian Networks

11. Hidden Markov Model

12. Fuzzy logic-based outlier detection

13. Stochastic Outlier Selection