A multi-label classification method, system, device and storage medium
A classification method and multi-label technology, applied in the field of systems, multi-label classification methods, devices and computer-readable storage media
Inactive Publication Date: 2021-11-26
GUANGDONG UNIV OF TECH
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[0005] The purpose of the present invention is to provide a multi-label classification method, system, device and computer-readable storage medium to solve the problem of how to improve the accuracy of multi-label classification
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[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0046] The embodiment of the present invention discloses a multi-label classification method, system, device and computer-readable storage medium to solve the problem of how to improve the accuracy of multi-label classification.
[0047] see figure 1 , a multi-label classification method provided by an embodiment of the present invention specifically includes:
[0048] S101. Determine training data; wherein the training data includes training samples and a label set...
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The invention discloses a multi-label classification method, which firstly determines the training data, and then uses the dictionary to be learned to learn the training data to obtain the corresponding target dictionary and sparse coding, and this scheme projects the sparse coding again to obtain the analysis dictionary, and then determines Analyze the optimal solution of dictionary, target dictionary, sparse coding and preset classifier, and use the corresponding optimal solution for multi-label classification. Compared with the existing technology, in this solution, on the basis of a dictionary learning, the sparse coding is also learned a dictionary, that is, the sparse coding is projected to obtain the corresponding analysis dictionary, and then the two dictionaries are combined for multi-label classification. Two dictionary learning can extract more complete features from the training data, thus making the classification results more accurate. The present application also provides a multi-label classification system, device and computer-readable storage medium, which can also achieve the above-mentioned technical effects.
Description
technical field [0001] The present invention relates to the field of label classification, and more specifically, relates to a multi-label classification method, system, device and computer-readable storage medium. Background technique [0002] In recent years, the vigorous development of Internet technology has brought earth-shaking changes to the world. Data resources have shown an exponential growth rate, with more and more data volumes and ever-changing forms. Informatization has penetrated into every corner of our lives. We are in a digital age with extremely rich information, which brings us great convenience in searching for information; however, in the face of such rich data resources, how to quickly and effectively Finding valuable information for us has become a hot spot for researchers, so various technologies for properly classifying resources have emerged as the times require. Among them, when there are multiple labels in the data set, the corresponding label c...
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IPC IPC(8): G06K9/62
Inventor 宋科建刘波肖燕珊
Owner GUANGDONG UNIV OF TECH