A Data Binding Method for Parallel Coordinate System View Clustering of Force-Directed Segmented Bones
A data binding and coordinate system technology, which is applied in the directions of instruments, computing, character and pattern recognition, etc., can solve the problems of data line clutter interference, visual cognitive deviation, etc., and achieve the effect of reducing overlapping and interlacing and improving visual cognitive effect
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[0093] like Figure 7 As shown, assume that the data in the view of the parallel coordinate system is clustered by the K-MEANS (K-means) method to obtain 4 clusters, among which, the number of samples in cluster 1 is 7, and the number of samples in cluster 2 is 55. The sample size of cluster 3 is 72, and the sample size of cluster 4 is 65. Use the traditional binding method and the binding method of the present invention to draw respectively, and compare the results.
[0094] 1) Traditional binding method:
[0095] Step 1: According to the sample data contained in each cluster, calculate the center of each cluster as the benchmark for the clustering of the cluster.
[0096] Step 2: Calculate the distance H between clusters according to the height of the coordinate axis and the number N of clusters.
[0097] The calculation model is: H=Height / N
[0098] Step 3: Arrange the center (mean line) positions of the four clusters evenly within the height range of the coordinate axi...
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