Rank Based Approaches
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Density-based methodology that exploits k-neighborhood of a data point has many good features. For instance, it is independent of the distribution of the data and is capable of detecting isolated objects. However it has some shortcomings:
[1] B. M. Golam Kibria,et al. Some Liu and ridge-type estimators and their properties under the ill-conditioned Gaussian linear regression model , 2012 .
[2] Dechang Pi,et al. Unifying Density-Based Clustering and Outlier Detection , 2009, 2009 Second International Workshop on Knowledge Discovery and Data Mining.