cathy29/distance-based-outlier-detection

A realization of Distance-based-Outlier-Detection in data mining

Distance-based-Outlier-Detection

A realization of Distance-based-Outlier-Detection in data mining ##Input parameters: -r Input file

-n Number of items in the file

-a Number of attributes of each item> -c A fraction of total items

-d Neighborhood radius

##Example: ./Outlier -r xxx.txt ¨Cn 100000 ¨Ca 5 ¨Cc 0.9988 ¨Cd 2.5

##Input data format: itemID attr1 attr2 attr3 attr4 ...

itemID attr1 attr2 attr3 attr4 ... ...

##Output: Number of outliers

The IDs of the outliers Execution time

##Testing Data German.txt in Outlier folder. [Source of data](http://archive.ics.uci.edu/ml/datasets/ Statlog+%28 German+Credit+Data%29)

##Performance

##Other Plantform XCode Project

##Executable File Windows:Download from Here

MacOS:Download