Research on Linear Regression Method of Global Search Density Peak Cluster Center
Aiming at the problem of poor nonlinear fitting effect and susceptible to outliers when the amount of data is large and the distribution is uneven,a linear regression method of global search for the density peak clustering center is proposed,and the density peak clustering method is used according to the sample.The distribution density divides all data points into multiple clus-ters,introduces the DKC value and AM metric to reduce the influence of outliers on the selection of cluster centers,and uses the cluster centers as the fitted feature points for piecewise linear fitting.The experiment of piecewise linear fitting of flight fuel con-sumption verifies the effectiveness of this method in this type of fitting problem,and provides a new idea for linear regression analy-sis.
density peak clusteringoutliersDKC valueAM metriclinear regression
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