Research Article
An Effective Clustering Algorithm Using Adaptive Neighborhood and Border Peeling Method
Algorithm 1
Natural neighbor searching algorithm.
| Input: A set of points | | Output: NaN_Num (xi) | | T = (X) //Create a k − d tree T from dataset X | | r = 1, flag = 0, NaN_Edge = , | | | | While flag = = 0 do | | For all do | | | | | | If | | then | | | | | | | | End If | | End For | | | | | | If all () | | flag = 1 | | End If | | r = r + 1 | | End While | | = r − 1 | | Return: NaN_Num (xi)l |
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