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Data dimension reduction processing method and device, computer equipment and storage medium

A data dimensionality reduction and processing method technology, applied in the field of big data processing, can solve the problem of not being able to completely retain all attribute information of the data

Pending Publication Date: 2021-02-09
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The embodiment of the present invention provides a data dimensionality reduction processing method, device, computer equipment, and storage medium, aiming to solve the problem that all attribute information of the data cannot be completely preserved when the prior art method reduces the dimensionality of the data attributes

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  • Data dimension reduction processing method and device, computer equipment and storage medium
  • Data dimension reduction processing method and device, computer equipment and storage medium
  • Data dimension reduction processing method and device, computer equipment and storage medium

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Embodiment Construction

[0029] 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 some 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 persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0031] It should also be understood that the terminology used ...

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Abstract

The invention discloses a data dimension reduction processing method and device, computer equipment and a storage medium. The method comprises the steps of quantifying sample data in a sample data setaccording to an information quantification rule to obtain feature quantification information, determining a dimension number according to the feature quantification information and a dimension reduction proportion value, grouping the sample data according to the dimension number and the feature quantification information, and obtaining an initial centroid, and performing iterative correction on initial execution of each group of sample data to obtain a corresponding target centroid, and calculating a distance characteristic value between each piece of sample data and each target centroid to serve as a dimension reduction characteristic of each piece of sample data. The method and device are based on a data dimension reduction processing technology and belong to the field of big data processing, dimension reduction processing is carried out on attribute information of sample data while all the attribute information of the sample data is reserved, and analysis processing is carried outon the sample data based on dimension reduction features obtained after dimension reduction, so that the accuracy of analysis and processing can be ensured, and the efficiency of analysis and processing is greatly improved.

Description

technical field [0001] The invention relates to the technical field of big data processing, belongs to the application scenario of dimensionality reduction processing of sample data in smart cities, and in particular relates to a data dimensionality reduction processing method, device, computer equipment and storage medium. Background technique [0002] With the development of network science and technology, the network has become an important way for people to obtain information. However, with the advent of the era of big data, the information explosion has increased the task burden of computers in information search, and the efficiency is low. Accurately obtaining effective information is relatively difficult. difficulty. Generally speaking, in order to reflect the characteristics of the data and conveniently and accurately filter or classify the data based on the characteristics of the data, the attribute information of multiple dimensions related to the data is usually o...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F16/28
CPCG06F16/283G06F18/213G06F18/214Y02D10/00
Inventor 王有金
Owner PING AN TECH (SHENZHEN) CO LTD
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