Open AccessAn Approach to Perform Uncertainity Analysis on a Spatial Dataset using Clustering and Distance based Outlier Detection Technique
Author(s) -
K. Manjula,
Amrita Kumari Keshari,
Atul Pahlazani
Publication year - 2015
Publication title -
indian journal of science and technology
Language(s) - English
Resource type - Journals
eISSN - 0974-6846
pISSN - 0974-5645
DOI - 10.17485/ijst/2015/v8i35/71972
Subject(s) - computer science , mahalanobis distance , data mining , cluster analysis , outlier , anomaly detection , voronoi diagram , uncertain data , spatial analysis , determining the number of clusters in a data set , fuzzy clustering , cure data clustering algorithm , set (abstract data type) , artificial intelligence , mathematics , statistics , geometry , programming language