Modifiable Squeezer cluster algorithm used in large-scale matrix

To solve the clustering method to the large-scale matrixes in the same dimension, the modifiable Squeezer cluster algorithm was proposed, based on the analysis of Squeezer cluster algorithm and the definition of the distance between the matrixes. The modifiable algorithm set a distance threshold, put forward a threshold of radius to control the accuracy of classification, and gave the detailed algorithm steps to realize cluster analysis for a large number of matrices. When the matrix cluster set was obtained, the modifiable algorithm provided the definition of center and radius to describe the properties of the matrix set. The proposed method could control the accuracy of classification in order to prevent chain effect in the course of clustering. The simulation experiment was addressed to validate the rationality and effectiveness of the modifiable algorithm.