Increased Performance Factor for the Best Clustering Algorithm

Clustering is the process of grouping objects into clusters such that the objects from the same clusters are similar and objects from different clusters are dissimilar. The relationship is often expressed as similarity or dissimilarity measurement and is calculated through distance function. some of the outlier detection techniques are distance based outlier detection distribution based outlier detection density based outlier detection and depth based outlier detection The goal of this paper is the detection of outliers with high accuracy and time efficiency. The methodology discussed here is able to save a large amount of time by selecting a small subset of suspicious transactions for manual inspection which includes most of the erroneous transactions.