OutlierDetection

##Overview This is an program for outlier Detection.

This project consist of 4 sub-projects, named,

1. Generate Random Databse
2. Outlier Detection Algorithm
3. Outlier Analysis
4. Python Implementation

We generate a random database for unit test to get the performance of these algorithms, Angle-Based Outlier Detection (ABOD), Density-Based Outlier Detection (LOF), and Distance-Based Outlier Detection (DBOD).

We implement all these algorithms in Visual Studio 2013 based on C# programming language. And use Outlier Analysis project to analyze the result.

##Techniques Details

1. Distance Based Approach

2. Density Based Method

3. Angle Based Algorithm

##Statistical Results

1. Precision

2. Dimension

3. CPU Time

References

To better understand the program in folder [OutlierDetection], please read the following papers:

1. Angle-based Outlier Detection in High-Dimensional Data
2. Outlier Detection Techniques(p.s. You may find this documents is helpful to you. enjoy :-) )

Notes

Any more questions, please feel free to contact me :-). marinyoung(at)163.com