Feature selection method and device
A feature selection method and feature selection technology, applied in the computer field, can solve problems such as evaluation result errors and indistinguishable feature distinction evaluation, and achieve the effect of improving efficiency and reducing errors
Inactive Publication Date: 2015-04-29
HANGZHOU HUAWEI DIGITAL TECH
View PDF4 Cites 16 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
In addition, when evaluating all input features, they are evaluated according to the same evaluation method, and different features cannot be evaluated differently
Therefore, using the same evaluation method for evaluation will lead to large errors in the evaluation results
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0067] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, 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 shall fall within the protection scope of the present invention.
[0068] With the embodiment of the present invention, the optimization of feature selection can be realized.
[0069] See figure 1 , figure 1 It is a schematic flowchart of an embodiment of a feature selection method according to an embodiment of the present invention. Such as figure 1 As shown, an embodiment of a feature selection method according to an embodiment of the present invention may include the following steps.
[0070] S100: Extract features of the sam...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a feature selection method. The method comprises steps as follows: features of sample data are extracted from the sample data, and a feature set is generated according to the extracted features; the feature set is divided into a first feature subset and a second feature subset, wherein the first feature subset comprises at least one preferred feature reserved in the last period of a current period, and the second feature subset comprises at least one candidate feature; a preferred feature conforming to a first preset index is selected from the first feature subset; a candidate feature conforming to a second preset index is selected from the second feature subset; a third feature subset is generated according to the preferred feature conforming to the first preset index and the candidate feature conforming to the second preset index. The invention further discloses a feature selection device. With the adoption of the feature selection method and device, feature selection can be optimized.
Description
Technical field [0001] The present invention relates to the computer field, in particular to a feature selection method and device. Background technique [0002] Currently, applications based on big data analysis platforms, such as information retrieval, mining users' consumption propensity, consumption patterns, etc., continue to emerge. These data are not only huge in number, but also feature high dimension describing sample data. Features are useful attribute information extracted from sample data that can describe sample data. Each sample data has many features, but not every feature is useful for data analysis. Therefore, a small number of features need to be selected from a large number of features. Effective features. Selecting a good feature can not only reduce the computational complexity and improve the prediction accuracy, thereby reducing the number of features in the feature set and reducing the running time of the system. [0003] The existing feature selection meth...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66
Inventor 武文博王云鹏刘冬
Owner HANGZHOU HUAWEI DIGITAL TECH