An Efficient Hybrid Algorithm for Data Clustering Using Improved Genetic Algorithm and Nelder Mead Simplex Search

机译：改进的遗传算法和Nelder Mead单纯形搜索在数据聚类中的高效混合算法

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Data clustering is a process of putting similar data into groups. A clustering algorithm partitions a data set into several groups such that the similarity within a group is larger than among groups. This paper presents data clustering using improved gene

机译：数据聚类是将相似数据分组的过程。聚类算法将数据集划分为几个组，以使组内的相似度大于组间的相似度。本文介绍了使用改进的基因进行数据聚类

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《Computational Intelligence and Multimedia Applications (ICCIMA), 2007 International Conference on》|2007年|P.498-510|共13页
会议地点 Sivakasi Tamil NaduIndia
作者
Satapathy; S.C.; Murthy; J.V.R.; Prasada Reddy; P.V.G.D.;
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genetic algorithms; pattern clustering; search problems; Nelder-Mead Simplex search; data clustering; hybrid algorithm; improved genetic algorithm;

机译：遗传算法；模式聚类；搜索问题； Nelder-Mead单纯形搜索；数据聚类；混合算法改进的遗传算法;

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4. An Efficient Hybrid Algorithm for Data Clustering Using Improved Genetic Algorithm and Nelder Mead Simplex Search [C] . Satapathy S.C., Murthy J.V.R., Prasada Reddy P.V.G.D. International Conference on Computational Intelligence and Multimedia Applications . 2007

机译：一种利用改进的遗传算法和Nelder Mead Simplex搜索的数据聚类有效混合算法
5. Efficient genetic k-means clustering algorithm and its application to data mining on different domains. [D] . Alsayat, Ahmed Mosa. 2016

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6. A hybrid cuckoo search algorithm with Nelder Mead method for solving global optimization problems [O] . Ahmed F. Ali, Mohamed A. Tawhid -1

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8. Convergence of the Nelder-Mead Simplex Algorithm for Unconstrained StochasticOptimization [R] . Tomick, J. J. 1995

机译：无约束随机优化的Nelder-mead单纯形算法的收敛性

An Efficient Hybrid Algorithm for Data Clustering Using Improved Genetic Algorithm and Nelder Mead Simplex Search

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