A two-dimensional density clustering method and device

A technology of density clustering and two-dimensional coordinates, applied in the field of data processing, can solve the problems of long calculation time and low calculation efficiency, and achieve the effect of reducing calculation time and improving calculation efficiency

Inactive Publication Date: 2019-04-26
CHENGDU SEFON SOFTWARE CO LTD
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  • Application Information

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Problems solved by technology

With the development of information technology, all kinds of data have become more and more complicated. When the amount of...

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  • A two-dimensional density clustering method and device
  • A two-dimensional density clustering method and device
  • A two-dimensional density clustering method and device

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[0055] 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 only a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0056] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the a...

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Abstract

The embodiment of the invention relates to the technical field of data processing. In particular, the invention relates to a camera, The invention relates to a two-dimensional density clustering method and device. The method comprises the following steps: selecting a plurality of two-dimensional coordinate points for Cartesian product connection on a first sample obtained by random selection; Therefore, parallel clustering calculation of each two-dimensional coordinate point is achieved, traditional full traversal is modified into parallel traversal, multi-thread multi-process concurrent execution of class cluster division is achieved, calculation time can be effectively shortened, and calculation efficiency is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of data processing, and in particular, to a two-dimensional density clustering method and device. Background technique [0002] Clustering analysis algorithm plays an important role in data analysis. It is a statistical analysis method for studying (sample or index) classification problems, and it is also an important algorithm for data mining. With the development of information technology, all kinds of data have become more and more complicated. When the amount of data increases, the existing clustering analysis algorithm takes a long time to calculate and the calculation efficiency is low. Contents of the invention [0003] In view of this, the present invention provides a two-dimensional density clustering method and device. [0004] An embodiment of the present invention provides a two-dimensional density clustering method, including: [0005] Obtain the two-dimensional coordin...

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Application Information

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IPC IPC(8): G06F16/2458G06K9/62
CPCG06F18/23
Inventor 潘小东王纯斌赵神州覃进学王伟才
Owner CHENGDU SEFON SOFTWARE CO LTD
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