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Unsupervised learning method and device

An unsupervised learning and clustering algorithm technology, applied in the field of communication, can solve problems such as joint training of unlabeled sample data

Active Publication Date: 2019-09-24
WEBANK (CHINA)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides an unsupervised learning method and device, which solves the above-mentioned problems existing in the prior art, overcomes the problem that the prior art cannot use unlabeled sample data for joint training, and improves the utilization rate of samples

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  • Unsupervised learning method and device

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Embodiment Construction

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all of them. Based on the embodiments of the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present application.

[0061] For supervised learning (supervised learning), its training samples have labeled information, and the purpose of supervised learning is to perform model learning on labeled data sets, so as to facilitate the classification of new samples. In unsupervised learning, the label information of the training samples is unknown, and the goal is to reveal the inherent properties and laws of the data through the learning of unlabeled training samples, and ...

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Abstract

The invention discloses an unsupervised learning method and device. The method comprises: a terminal receiving a preset number of initial center data sent by a center server; clustering the stored unlabeled sample data according to a preset number of initial center data by adopting a preset clustering algorithm to obtain a preset number of data sets and an average value in a convergence state corresponding to data values of the unlabeled sample data in each data set, and determining the average value as the center data of the data sets; sending the central data of the preset number of data sets to a central server, and the central server obtaining a preset number of current central data according to the central data of the preset number of data sets of the plurality of terminals, and determining the preset number of current central data as a preset number of target central data when the preset number of current central data is in a convergence state. The method improves the sample utilization rate.

Description

technical field [0001] The present application relates to the field of communication technologies, and in particular to an unsupervised learning method and device. Background technique [0002] With the rapid development of machine learning, machine learning can be applied in various fields, such as data mining, computer vision, natural language processing, biometric identification, medical diagnosis, detection of credit card fraud, securities market analysis and DNA sequence sequencing, etc. Machine learning includes a learning part and an execution part. The learning part uses sample data to modify the knowledge base of the system to improve the performance of the system execution part in completing tasks. The execution part completes tasks based on the knowledge base and feeds back the obtained information to the learning part. [0003] At present, due to the close relationship between the sample data of each data owner, if the machine learning only uses the sample data o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08
CPCG06N3/088
Inventor 刘洋陈天健杨强
Owner WEBANK (CHINA)