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Feature screening method and apparatus

A feature screening and feature sub-technology, applied in the field of data processing, can solve problems such as inability to apply dynamic changes of feature data sets

Active Publication Date: 2018-08-31
BEIJING INST OF ENVIRONMENTAL FEATURES
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to various reasons such as data measurement errors and sensor condition limitations, each feature detected by the radar contains missing values, that is, the features detected by the radar each time change dynamically, but the existing feature selection models and algorithms for screening features It is designed for static data and cannot be applied to dynamic changes in feature data sets

Method used

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  • Feature screening method and apparatus

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Experimental program
Comparison scheme
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Embodiment 1

[0102] Such as figure 1 As shown, the feature screening method provided by the embodiment of the present invention may include the following steps:

[0103] Step 101: Obtain at least two features to be screened;

[0104] Step 102: Determine the evaluation metric value corresponding to each feature respectively;

[0105] Step 103: Divide the at least two features into at least two feature subsets according to the correlation between the features, where each feature subset includes at least one feature, and the corresponding evaluation metric value in each feature subset is the largest The correlation coefficient between one feature of and the other features is greater than the preset first correlation coefficient threshold;

[0106] Step 104: Obtain a feature with the largest corresponding evaluation metric value from each feature subset, and construct each obtained feature into an optimal feature set;

[0107] Step 105: Update the features included in the optimal feature set by calcul...

Embodiment 2

[0111] On the basis of the feature screening method provided in the first embodiment, the process of respectively determining the evaluation metric value corresponding to each feature in step 102 can be implemented through the following steps:

[0112] A1: Construct a first feature set including the acquired features, and obtain a classification set of the first feature set in the previously obtained decision feature subset, where the decision feature subset is the sum of the decision feature set obtained in advance Subset;

[0113] Substituting the decision feature subset, classification set, and decision feature set into the following equation set 1 to obtain the first evaluation metric parameter corresponding to each feature, where equation set 1 includes:

[0114]

[0115] Among them, U represents the first feature set, and U={x 1 ,x 2 ,x 3 …X n }, n represents the total number of features; B represents the decision feature subset, D|B represents the classification set, and D|B={...

Embodiment 3

[0124] On the basis of the feature screening method provided in the second embodiment, the process of dividing each feature into at least two feature subsets in step 103, such as figure 2 As shown, it can be implemented through the following steps:

[0125] Step 201: Substituting the samples included in each sample set into the third equation to obtain the correlation parameter set of each feature relative to each other feature;

[0126] The three equations include:

[0127]

[0128] among them, Characterize the correlation parameter of the i-th feature relative to the j-th feature; X j Characterize the set consisting of samples corresponding to the jth feature in each sample set; F i Characterize the set of samples corresponding to the i-th feature in each sample set; W i Characterize the set of correlation parameters corresponding to the i-th feature;

[0129] Step 202: For each feature pair including two features, calculate the average value of the correlation parameter of the fir...

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Abstract

The invention relates to the technical field of data processing, and provides a feature screening method and apparatus. The method comprises the steps of obtaining at least two to-be-screened features; determining assessment measurement values corresponding to the features; according to correlation among the features, dividing the at least two features into at least two feature subsets, wherein acorrelation coefficient between a feature corresponding to the maximum assessment measurement value in each feature subset and each of other features is greater than a preset first correlation coefficient threshold; obtaining the feature corresponding to the maximum assessment measurement value from each feature subset, and enabling the obtained features to form an optimal feature set; by calculating an identification probability of the optimal feature set, updating the features comprised in the optimal feature set; and taking the updated features comprised in the optimal feature set as results of screening the at least two features. According to the scheme, feature screening can be performed under the condition of dynamic change of a feature data set.

Description

Technical field [0001] The present invention relates to the technical field of data processing, in particular to a feature screening method and device. Background technique [0002] When recognizing a space target by radar, the radar will detect multiple features of the space target, and then select each detected feature through a feature selection model and algorithm, and then use the selected features to identify the space target . Due to various reasons such as data measurement errors and sensor condition limitations, each feature detected by the radar contains missing values, that is, the feature detected by the radar changes dynamically each time, but there are existing feature selection models and algorithms that screen features It is designed for static data and cannot be applied to the situation where the feature data set changes dynamically. [0003] Therefore, in view of the above shortcomings, it is necessary to provide a feature screening solution that can be applied ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2115
Inventor 盛晶任红梅袁莉
Owner BEIJING INST OF ENVIRONMENTAL FEATURES
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