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Clustering analysis method and system of sensing data

A technology of sensing data and cluster analysis, applied in the field of cluster analysis, can solve the problem of low accuracy of analysis results, and achieve the effect of improving accuracy

Active Publication Date: 2013-07-03
江苏感知恒安科技有限公司
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  • Abstract
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Problems solved by technology

[0006] In order to solve the above technical problems, an embodiment of the present invention provides a method and system for cluster analysis of sensing data to solve the problem of low accuracy of analysis results in the prior art. The technical solution is as follows:

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  • Clustering analysis method and system of sensing data

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Embodiment Construction

[0057] In order to enable those skilled in the art to better understand the technical solutions in the present invention, 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 The embodiments are only some of the embodiments of the present invention, 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 shall fall within the protection scope of the present invention.

[0058] Such as figure 1 As shown, a cluster analysis method for sensing data provided by an embodiment of the present invention includes:

[0059] S101. Add credibility description information to the sensing data;

[0060]Among them, the credibility description information refers to a quantitative measure used to describe the degree o...

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Abstract

The invention discloses a clustering analysis method and a clustering analysis system of sensing data. Reliability information is added in the sensing data, a micro-clustering feature capable of describing the reliability information is constructed, the sensing data can be clustered and classified according to the micro-clustering feature and a real-time analysis outcome is obtained. The clustering analysis method does not need to access historical data during clustering feature updating so as to ensure the real-time property, and is more suitable for an information processing system with larger data size and certain demands on real-time property.

Description

technical field [0001] The invention relates to the technical field of cluster analysis, in particular to a cluster analysis method and system for sensing data. Background technique [0002] As the Internet of Things grows, so does the use of sensors. After obtaining the sensor data, it is necessary to analyze and process the sensor data to obtain useful information. [0003] One of the existing methods for analyzing and processing sensory data is cluster analysis. Cluster analysis refers to the analysis process of grouping a collection of physical or abstract objects into multiple classes composed of similar objects. The goal of cluster analysis is to collect data to classify on the basis of similarity. [0004] The most important of the traditional cluster analysis methods are partitioning methods. Partition method Given a data set with N tuples or records, construct K groups of the data set, each group represents a cluster, K<N and K and N are both natural numbers. ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 王彦哲潘强沈杰刘海涛
Owner 江苏感知恒安科技有限公司
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