李玮瑶, 刘建粉, 吕海莲. 基于模糊扩展聚类的关联编码算法设计[J]. 微电子学与计算机, 2015, 32(6): 138-141. DOI: 10.19304/j.cnki.issn1000-7180.2015.06.031
引用本文: 李玮瑶, 刘建粉, 吕海莲. 基于模糊扩展聚类的关联编码算法设计[J]. 微电子学与计算机, 2015, 32(6): 138-141. DOI: 10.19304/j.cnki.issn1000-7180.2015.06.031
LI Wei-yao, LIU Jian-fen, LV Hai-lian. Design Related Coding Algorithm Based on Clustering Fuzzy Expansion[J]. Microelectronics & Computer, 2015, 32(6): 138-141. DOI: 10.19304/j.cnki.issn1000-7180.2015.06.031
Citation: LI Wei-yao, LIU Jian-fen, LV Hai-lian. Design Related Coding Algorithm Based on Clustering Fuzzy Expansion[J]. Microelectronics & Computer, 2015, 32(6): 138-141. DOI: 10.19304/j.cnki.issn1000-7180.2015.06.031

基于模糊扩展聚类的关联编码算法设计

Design Related Coding Algorithm Based on Clustering Fuzzy Expansion

  • 摘要: 提出一种基于模糊扩展聚类的关联编码算法.构建基于概率统计的模糊数据扩展聚类的网络单元结构,采用概率统计理论,进行属于编码的数据结构设计,得到小区间编码补偿下的同态速率,构建扩展聚类和关联编码的模糊函数,收集节点集合的特征输入数据,采用模糊扩展聚类算法求得类与特征间的平均相关度,得到物联网构架下的多处理器集群双向链路的网络编码结构,实现模糊扩展聚类的关联编码算法改进.仿真结果表明,该算法具有较好的模糊扩展聚类效果,提高了数据关联编码的保密性能和分块性能,数据加密性较好.

     

    Abstract: A kind of associative encoding algorithm based on Clustering Fuzzy expansion is put forward. The network unit structure of the extended fuzzy clustering of data based on probability and statistics is constructed.According to probability and statistics theory, data structure belonging to the code rate is designed, and homomorphism inter cell code under the construction of compensation is obtained. Fuzzy clustering and association code of function expansion are constructd and characteristics of input data collection node set a collected.Using fuzzy clustering algorithm to obtain the expansion of the average correlation class and between features, network coding structure has been a two-way link multi processor cluster networking framework, implementation of improved fuzzy association code extension clustering algorithm. The simulation results show that the algorithm has good clustering fuzzy expansion effect, improves the performance of data association code of secrecy and block performance, and data encryption is better.

     

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