Apparent density peak detection algorithm based on double-check
A peak detection and false density technology, which is applied in the field of computer computing, can solve problems such as increased error rate, insufficient flexibility, and poor results, and achieve the effects of improving accuracy, low error floor, and system bit error rate performance
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[0011] The present invention will be further described below,
[0012] A false density peak detection algorithm based on double inspection, comprising the following steps:
[0013] 1) Calculate the distance matrix, input the data set P to be clustered, record the number of points as N, and record the i-th point in P as p i , calculate the distance between every two points in P, and generate a distance matrix (d i,j ) N×N , where d i,j represents the point p i to p j distance;
[0014] 2) Calculate the outer density of all points, using r 1 Scan each point as the outer radius, take the i-th point p i As an example, combine P with p i distance less than r 1 The point of adding to p i the r 1 -Neighbor collection 1Nei ι,1 ={p j |d i,j 1}middle. Will assemble Nei i,1 The number of elements in is taken as p i The outer density value of 1 ρ i , r 1 ...
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