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经典的基于网格和密度的聚类算法。适合处理大规模数据

This program is the application of CLIQUE clustering algorithm on 2-dimentional
spatial data. 

This program does not realize CLIQUE's idea of selecting potential dense 
2-dimentinonal cells from dense 1-dimentional cells because this idea does not
applicable to our testing data sets. This program just realized CLIQUE's clustering
algorithm, connecting neighbouring dense cells into one cluster, in 2-dimentional
data set.

The usage of the program is like this:

"clique fileName numberOfPoints resolution xmin xmax ymin ymax tau"

where the meaning of each argument is:
fileName -- data file name
numberOfPoint -- the number of data points in the data file
resolution -- resolution in clustering
xmin -- minimum in x-axis
xmax -- maximum in x-axis
ymin -- minimum in y-axis
ymax -- maximum in y-axis
tau -- threshold in determining dense cells

one example of the usage of the program is like:

clique t7.dat 10000 20 0 700 0 500 0.18