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Classification method, system, terminal device and storage medium for denoising task points

A classification method and task point technology, applied in the field of artificial intelligence, can solve the problems of difficult completion of market research tasks and irregular classification of task points.

Active Publication Date: 2019-01-01
WUHAN POLYTECHNIC UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a task point denoising and classification method, system, terminal equipment and storage medium, aiming to solve the technical problem in the prior art that the task point classification is irregular and the market research task is difficult to complete

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  • Classification method, system, terminal device and storage medium for denoising task points
  • Classification method, system, terminal device and storage medium for denoising task points

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Embodiment Construction

[0047] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0048] The solution of the embodiment of the present invention is mainly as follows: by performing noise removal on the initial task point distribution map, the initial task point distribution map after noise removal is used as the task point distribution map to be processed; Traversing, obtaining the number of task points that the traversed current initial task point corresponds to other task points within a preset range, the preset range is centered on the current initial task point, and a range determined by a preset length as a radius; Select the target task point whose quantity of task points is greater than the preset quantity threshold from the initial task point, and use the target task point after removing the non-central point in the target task point as the initial center point; each initial center point is ...

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Abstract

A method for denoising and classifying task point A system, a terminal device and a storage medium, As that initial task point in the distribution map of the task points to be proces are traversed, the number of task points of other task point within a preset range corresponding to the traversed current initial task points is obtained, and the target task points whose number of task points is larger than a preset number threshold value are selected as the initial center points from the initial task points; Each initial center point is treated as a category, the target distances between each initial task point and each initial center point are obtained respectively, and clustering each initial task point with the shortest target distance as a clustering condition, In order to achieve the classification of the initial task points, it can reduce the influence of human subjective factors, improve the accuracy of the classification of task points, and then improve the success rate of marketresearch tasks and task processing speed and efficiency, and can achieve the expected commodity market survey effect, and improve the user experience.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a task point denoising classification method, system, terminal equipment and storage medium. Background technique [0002] With the rapid development of the economy, enterprises need to understand the unpredictable market to determine whether the products produced by the enterprise meet the consumption desires of consumers, or to understand whether consumers have the motivation to buy the products of the enterprise, and market research is the key point of the enterprise. Commonly used methods to understand the market. [0003] The behavior of "taking pictures" at the mission point and making profits cleverly uses mobile Internet technology to conduct market research. Users need to download an application (Application, APP), and after obtaining the corresponding product information at the corresponding location, they can receive the reward corresponding to the task....

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06K9/40G06K9/62
CPCG06Q30/0201G06Q30/0203G06V10/30G06F18/2321
Inventor 杨雨刘江蓉周康高婧刘朔祁华清贾世煜江法霖刘志伟姚钊尹明君
Owner WUHAN POLYTECHNIC UNIVERSITY
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