Equipment clustering method, terminal equipment and storage medium

The invention discloses a device clustering method, a terminal device and a storage medium, and the device clustering method comprises the steps: obtaining a connection relationship between devices, the devices forming network nodes of a GAT network; obtaining an adjacent matrix of each device accor...

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description The invention discloses a device clustering method, a terminal device and a storage medium, and the device clustering method comprises the steps: obtaining a connection relationship between devices, the devices forming network nodes of a GAT network; obtaining an adjacent matrix of each device according to the connection relationship among the devices; performing feature extraction on each device to obtain a feature matrix of each device; inputting the adjacent matrix and the feature matrix into a pre-trained graph attention auto-encoder GATE model to obtain a reconstructed node feature matrix; and inputting the reconstructed node feature matrix into a clustering algorithm to cluster each network node to obtain the category of each device. The invention provides an equipment clustering scheme which does not need to update the node features of the whole graph and re-calculate the whole graph under the condition that the equipment nodes are increased, so that a large amount of calculation space is saved. 本申请公开了
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The invention provides an equipment clustering scheme which does not need to update the node features of the whole graph and re-calculate the whole graph under the condition that the equipment nodes are increased, so that a large amount of calculation space is saved. 本申请公开了</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220802&amp;DB=EPODOC&amp;CC=CN&amp;NR=114841296A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220802&amp;DB=EPODOC&amp;CC=CN&amp;NR=114841296A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MAO LUNING</creatorcontrib><title>Equipment clustering method, terminal equipment and storage medium</title><description>The invention discloses a device clustering method, a terminal device and a storage medium, and the device clustering method comprises the steps: obtaining a connection relationship between devices, the devices forming network nodes of a GAT network; obtaining an adjacent matrix of each device according to the connection relationship among the devices; performing feature extraction on each device to obtain a feature matrix of each device; inputting the adjacent matrix and the feature matrix into a pre-trained graph attention auto-encoder GATE model to obtain a reconstructed node feature matrix; and inputting the reconstructed node feature matrix into a clustering algorithm to cluster each network node to obtain the category of each device. 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language chi ; eng
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
title Equipment clustering method, terminal equipment and storage medium
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