Abstract
By studying the theory of Clustering Analysis and any other relative knowledge, the extent of comparability in the pattern is described by pattern comparability measurement in this paper,handle the distance measurement, comparability measurement,classification clustering method,close function algorithms arithmetic to designing pattern divider and use MATLAB to programming,accomplish the relevant function.At the same time,handle the characterless value(i.e AR model parameters)which get from the surface EMG signals to validate, the result shows that the divider which schemed out base on distance measurement, comparability measurement, classification clustering method can well accomplish the pattern recognition for 8 actions of antebrachium, and the recognition rate almost can up to 80% or more. But the recognition effect of the divider which designed base on close function algorithms arithmetic is worse correspondingly.
Keywords: Clustering Analysis Pattern Comparability Measurement Close Function Algorithms Arithmetic Pattern Recognition
Classification Clustering Method