How do I code in matlab the nested loop algorithm for outlier detection

Nested Loop Algorithm
1.  The nested-loop algorithm for computing outliers simply computes, for each input point , p.
2.  DK(p)  is the distance of kth nearest neighbor of the input point p.
3.  It then selects the top n points with maximum distance Dk values.
4.  In order to compute Dk for points, the algorithm scans the database for each point p.  
5.  For a point p , a list of k nearest points for p _ is maintained.
6.  For each point q from the database, a check is made to see if dist(p,q) is smaller than the kth nearest neighbor so far.
7.  If the check succeeds, q is included in the list of the k nearest neighbors for p.

8.  If the list contains more than k neighbors, then the point that is furthest away from p  is deleted from the list.

9.  Assuming a total buffer size of B% of the dataset size, the algorithm divides the entire buffer space into two halves

10.  The nested loop algorithm can be made I/O efficient by computing Dk for a block of points together.
ody

Answer 1

[Walter Roberson]

http://www.mathworks.com/matlabcentral/answers/8026-best-way-s-to-master-matlab

http://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer

Answer 2

[Image Analyst]

Why not just use the Mathworks-supplied outlier detection code: http://www.mathworks.com/matlabcentral/fileexchange/3961-deleteoutliers? Why reinvent the wheel?