Fuzzy data clustering method, device, equipment and storage medium

A technology of fuzzy data and clustering methods, applied in other database clustering/classification, other database retrieval, etc., can solve the problems of low efficiency of fuzzy data clustering methods, and achieve relatively low efficiency, good scalability and fault tolerance sex, meet the effect of rapid growth

Pending Publication Date: 2020-06-05
GUANGZHOU INST OF TECH
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Problems solved by technology

[0004] In view of this, the present application provides a fuzzy data clustering method, device, equipment and storage medium, which solves the technical problem of low efficiency of the existing fuzzy data clustering methods

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  • Fuzzy data clustering method, device, equipment and storage medium
  • Fuzzy data clustering method, device, equipment and storage medium
  • Fuzzy data clustering method, device, equipment and storage medium

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Embodiment Construction

[0047] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0048] The fuzzy data clustering method, device, equipment and storage medium provided in the embodiments of the present application solve the technical problem of relatively low efficiency of the existing fuzzy data clustering methods.

[0049] The first aspect of the embodiments of the present application provides an embodiment of a fuzzy data clustering method. ...

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Abstract

The invention discloses a fuzzy data clustering method, device, equipment and a storage medium. The method comprises the steps of: carrying out multi-curved-surface mapping fuzzy data clustering on local network data of cluster nodes stored in each network data block, and forming a local clustering result, centralizing intermediate results of all the local clustering results, and analyzing and combining all the intermediate results to form temporary clustering information of all the cluster nodes in the network and a class mapping table of all clustering conversion, determining final states ofall the cluster nodes according to the temporary clustering information of all the cluster nodes, and determining clustering results of all the cluster nodes according to the final states of all thecluster nodes and the class mapping table. The problem that an existing fuzzy data clustering method is low in efficiency is solved.

Description

technical field [0001] The present application relates to the technical field of data mining, in particular to a fuzzy data clustering method, device, equipment and storage medium. Background technique [0002] With the development of modern information technology, people hope to effectively analyze and process large-scale data networks. However, the relatively high complexity of time and space and the shortage of physical memory make traditional clustering methods unable to handle it. Therefore, the fuzzy data clustering method for analyzing and processing large-scale data networks has always been a research hotspot for relevant personnel. [0003] The existing fuzzy data clustering methods mainly include: sequential method, sampling method, distribution method and so on. Although the above methods have achieved certain effects, they all have the problem of low efficiency when processing large-scale, widely distributed, and rapidly growing data. Contents of the inventio...

Claims

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Application Information

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IPC IPC(8): G06F16/906
CPCG06F16/906
Inventor 王世安
Owner GUANGZHOU INST OF TECH
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