A method, device and terminal device for generating user identification
A user identification and user technology, applied in the field of data processing, can solve the problem of low matching accuracy and achieve the effect of accurate and reliable matching and strong coverage
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[0061] As a specific implementation of calculating the clustering index in the second embodiment of the present application, in order to reduce the workload of clustering processing, such as image 3 As shown, in the third embodiment of the present application, all face feature data are face feature vectors, and the selected clustering index type is the vector distance between the face feature vectors. The third embodiment of the present application includes:
[0062] S301. Perform feature vector fusion on all the second face feature data included in each feature data class, to obtain a second face feature vector corresponding to each feature data class.
[0063] Wherein, the specific eigenvector fusion method is not limited here, and can be set by technicians according to actual needs, including but not limited to, such as directly averaging the corresponding values in each face eigenvector to obtain the corresponding second face Feature vector.
[0064] S302. Calculate ve...
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