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Method and device for classifying multiple labels

A classification method and a technology of a classification device, which are applied in the field of data processing, can solve problems such as subsequent classification influence, low classification result accuracy rate, and inability to guarantee the classification result accuracy rate, and achieve the effect of high accuracy rate and improved accuracy rate

Active Publication Date: 2015-05-13
SHANDONG INSPUR SCI RES INST CO LTD
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Problems solved by technology

[0004] In the existing technology, the label information is transmitted sequentially, and the quality of the previous classification results will have a great impact on the subsequent classification.
However, in the prior art, the correct rate of the previous classification results cannot be guaranteed, resulting in a lower correct rate of the entire classification result.

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  • Method and device for classifying multiple labels
  • Method and device for classifying multiple labels
  • Method and device for classifying multiple labels

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Embodiment Construction

[0041] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the protection of the present invention. scope.

[0042] Such as figure 1 As shown, the embodiment of the present invention provides a multi-label classification method, which may include the following steps:

[0043] A1: Cluster the training samples, and sort the labels according to the classification accuracy of the labels corresponding to each training sample after clustering;

[0044] A2: Sort th...

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Abstract

The invention provides a method and device for classifying multiple labels. The method comprises the steps that A1, training samples are clustered, and labels are ranked according to the dividing accuracy of the labels corresponding to the clustered training samples; A2, classifiers corresponding to all the labels are ranked according to the sequence of the labels; A3, data to be classified are classified through the ranked classifiers. The method and device for classifying the multiple labels can improve the accuracy of multi-label classification.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a multi-label classification method and device. Background technique [0002] In the field of big data mining, classification problems occupy a large proportion. When the object to be classified has a clear and single semantics, the existing classification algorithms are relatively mature. However, in many classification problems, a sample may have multiple different labels at the same time, such problems are called multi-label classification problems. For example, a webpage may have multiple subjects at the same time, and a patent may belong to multiple fields. [0003] In the existing multi-label classification methods, the multi-label classification problem is dealt with from the correlation of labels, and the results of the previous single-label classification are added to the attributes of the samples to provide information for the subsequent multi-label classifica...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/35
Inventor 范莹于治楼梁华勇
Owner SHANDONG INSPUR SCI RES INST CO LTD
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