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Membrane calculation data cell clustering method oriented to field of big data

A clustering method, big data technology, applied in computing, computing models, computer components, etc.

Inactive Publication Date: 2019-12-03
ZHEJIANG UNIV OF TECH
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Problems solved by technology

However, the membrane clustering algorithm proposed by them has certain limitations, and the number of clusters needs to be specified in advance.

Method used

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  • Membrane calculation data cell clustering method oriented to field of big data
  • Membrane calculation data cell clustering method oriented to field of big data
  • Membrane calculation data cell clustering method oriented to field of big data

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Embodiment Construction

[0098] The present invention will be further described in conjunction with accompanying drawing

[0099] refer to figure 1 , a membrane computing data cell clustering method oriented to the field of big data, the tissue cell O1 adopts the Agnes-based hierarchical clustering algorithm, the tissue cell O2 adopts the data clustering algorithm based on weighted CM, and the tissue cell O3 adopts the data clustering algorithm based on GA algorithm. The diversity of objects in the system can be enhanced by mixing different evolutionary mechanisms. The directed arrows between the tissue cells in the figure represent the transport rules, which can realize the sharing and exchange of objects. The unique transport rules can make each object in the tissue P system co-evolve, and accelerate the convergence speed of the tissue P system and improve the clustering In effect, the environment is finally defined as the output membrane of the tissue P system. The method comprises the steps of:...

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Abstract

The invention discloses a membrane calculation data cell clustering method oriented to the field of big data. through a k-means algorithm based on density, data is preprocessed, and the defect of manually reserving the number of the data clusters is overcome, and relatively reasonable data cluster division is obtained. A hybrid evolution mechanism adopts an Agnes algorithm based on hierarchical division, a genetic algorithm (GA) and a weighted fuzzy clustering (FCM) algorithm as evolution rules, and the advantages of the three clustering algorithms can be effectively combined in combination with membrane calculation, so that a better clustering result can be obtained.

Description

technical field [0001] The invention relates to the application of membrane calculation, especially the application of membrane calculation in data clustering. Background technique [0002] Membrane computing is Gheorghe A novel distributed parallel computing theoretical model formally proposed in 2000 is mainly a computing model abstractly defined from the structure and function of living cells and the collaboration of cell clusters such as cells and tissues. Usually this type of computing model is also called called the P system. The P system can realize parallel computing processing of information through the evolution of objects in cells. In addition, based on the diversification of cell biology, people have produced many variants through different mechanisms of the P system, thus providing broader and novel ideas for dealing with problems, such as robotics, image processing, signal processing, fault diagnosis, ecology and system biology. Tissue P system is one of t...

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Application Information

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IPC IPC(8): G06K9/62G06N3/00G06N3/12
CPCG06N3/126G06N3/002G06F18/23213
Inventor 陆佳炜赵伟周焕吴涵张元鸣肖刚
Owner ZHEJIANG UNIV OF TECH
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