文件列表:

outlier (0, 2017-10-21)
outlier\.svn (0, 2010-08-10)
outlier\.svn\all-wcprops (1244, 2010-08-10)
outlier\.svn\entries (1712, 2010-08-10)
outlier\.svn\prop-base (0, 2010-08-10)
outlier\.svn\props (0, 2010-08-10)
outlier\.svn\text-base (0, 2010-08-10)
outlier\.svn\text-base\data.txt.svn-base (246, 2010-08-10)
outlier\.svn\text-base\Outlier_Demo.m.svn-base (2161, 2010-08-10)
outlier\.svn\text-base\Outlier_Global.m.svn-base (522, 2010-08-10)
outlier\.svn\text-base\Outlier_Scatter.m.svn-base (1822, 2010-08-10)
outlier\.svn\text-base\Outlier_Test.m.svn-base (817, 2010-08-10)
outlier\.svn\text-base\Outlier_Variogram.m.svn-base (644, 2010-08-10)
outlier\.svn\text-base\Show_Data.m.svn-base (547, 2010-08-10)
outlier\.svn\text-base\Show_Hist.m.svn-base (663, 2010-08-10)
outlier\.svn\tmp (0, 2010-08-10)
outlier\.svn\tmp\prop-base (0, 2010-08-10)
outlier\.svn\tmp\props (0, 2010-08-10)
outlier\.svn\tmp\text-base (0, 2010-08-10)
outlier\data.txt (274, 2017-10-21)
outlier\data_analysis.m (2275, 2017-10-21)
outlier\kmeans_with_outlier_eliminate.m (953, 2013-06-03)
outlier\LOF.m (1502, 2017-10-22)
outlier\OutlierFind.m (780, 2017-10-21)
outlier\Outlier_Demo.m (2175, 2017-10-21)
outlier\Outlier_Global.m (3409, 2017-10-21)
outlier\Outlier_Scatter.m (1822, 2017-10-21)
outlier\Outlier_Test.m (3722, 2017-10-21)
outlier\Outlier_Variogram.m (644, 2003-05-09)
outlier\Show_Data.m (547, 2017-10-21)
outlier\Show_Hist.m (663, 2003-05-09)
outlier\test.m (221, 2016-05-19)
outlier\test.mat (80013, 2017-10-20)

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,

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