matlab离群点检测

README of Spatial Outlier Detection S. Shekhar & P. Zhang University of Minnesota Objective: Better understand concepts and methods for spatial outlier detection comparing to traditional ones. Requirement: Matlab Data: data.txt is an example dataset for spatial outlier detection illustration. It's a 30 x 2 matrix: first column is the spatial coordinates, and second column is the attribute value at the location. Each row is an instance. Procedure: Open matlab, then type the script name for the spatial outlier detection demo. The running script for spatial outlier detection is named Outlier_Demo.m In this script, the data were loaded into workspace. Then users have several sub-scripts to play with. It will calculate different outliers, and generate the figures used in the spatial outlier subsection in the spatial data mining book chapter[SDM03]. (1)Show raw data run Show_Data.m (remove % before Show_Data in the Outlier_Demo script) or type Show_Data in command line Output: Generate the Figure 3.4(a) in [SDM03] (2)Show histogram for the attribute in data run Show_Hist.m (remove % before Show_Hist in the Outlier_Demo script) or type Show_Hist in command line Output: Generate the Figure 3.4 (b) in [SDM03] (2)Global outlier detection run Outlier_Global.m (remove % before Outlier_Global in the Outlier_Demo script) or type Outlier_Global in command line Output: Generate a figure to show that G, the max value in the data, is the global outlier (3)Outlier detection using Scatter Plot run Outlier_Scatter.m (remove % before Outlier_Scatter in the Outlier_Demo script) or type Outlier_Scatter in command line Output: Generate the Figure 3.6(a) in [SDM03] (4)Outlier detection using Variogram run Outlier_Variogram.m (remove % before Outlier_Variogram in the Outlier_Demo script) or type Outlier_Variogram in command line Output: Generate the Figure 3.5(a) in [SDM03] (5)Outlier detection using Spatial test [GeoInfo03] run Outlier_Test.m (remove % before Outlier_Test in the Outlier_Demo script) or type Outlier_Test in command line Output: Generate the Figure 3.6(b) in [SDM03] References: [SDM03] Shashi Shekhar, Pusheng Zhang, Yan Huang, and Ranga Raju Vatsavai, "Spatial Data Mining", as a book chapter to appear in "Data Mining: Next Generation Challenges and Future Directions", Hillol Kargupta and Anupam Joshi(editors), AAAI/MIT Press, 2003 [GeoInfo03] Shashi Shekhar, Chang-Tien Lu, and Pusheng Zhang, A Unified Approach to Detecting Spatial Outliers, GeoInformatica, An International Journal on Advances of Computer Science for Geographic Information Systems, Volume 7, Issue 2, 139-166, Kluwer Academic Publishers, June 2003,