Method and system for automatically dividing user levels
A technology of automatic classification and user level, applied in special data processing applications, text database clustering/classification, instruments, etc., can solve the problems of inconsistent classification standards, long manual operation time, large data volume, etc., to achieve user experience effects. Good, save labor cost, improve the effect of accuracy
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[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0038]Cluster analysis is one of the key issues in the field of data mining and machine learning. It is widely used in data mining, pattern recognition, decision support, machine learning and image segmentation. It is one of the most important data analysis methods. The K-means algorithm is the most widely used partition-based hard clustering analysis algorithm, and it is a representative of a typical prototype-based objective function clustering method. It is a certain distance from the data point to the prototype as the optimized objective function. , using the method of finding the extremum of the function to obtain the adjustment rule of the iterative operation. The K-means algorithm uses the Euclidean distance as the similarity measure, which seeks the optimal classification corresponding to an initial cluster center vector V, so...
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