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Detecting outliers in database (as unusual objects) using Clustering and Distance-based approach is a big desire. Minimum spanning tree based clustering algorithm is capable of detecting clusters with irregular boundaries. In this paper we propose a new algorithm to detect outliers based on minimum spanning tree clustering and distance-based approach. Outlier detection is an extremely important task in a wide variety of application. The algorithm partition the dataset into optimal number ofdoi:10.5120/1396-1885 fatcat:xcc6xfho7fbazlxm5yefinxlay