Description: FCMDEMO displays a GUI window to let you try out various parameters
in fuzzy c-means clustering for 2-D data. You can choose the data set
and clustering number from the GUI buttons at right, and then click
\"Start\" to start the fuzzy clustering process.-FCMDEMO GUI displays a window to let you try out various parameters in fuzzy c-means cluste ring for 2-D data. You can choose the data set and clustering number from the GUI buttons at right , and then click "Start" to start the fuzzy clus tering process. Platform: |
Size: 5714 |
Author:dynasty |
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Description: 一个k-means算法的改进。使用了模糊聚类的方法,并且有演示过程。-a k-means algorithm improvements. The use of fuzzy clustering method, and a demonstration of the process. Platform: |
Size: 59221 |
Author:付亮 |
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Description: 模糊逻辑分析是人工智能的典型工具,通过理论分析,作者给出了一个基于java的模糊聚类算法,以考察司机的行为并作出评价-Fuzzy logic is a typical tool for analysis of artificial intelligence, theoretical analysis, the author gives a java-based fuzzy clustering algorithm to study driver behavior and to uate Platform: |
Size: 81920 |
Author:王达从 |
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Description: 有关于电动汽车的模糊聚类控制,已经实现了聚类分析,非常有用-Fuzzy clustering on electric vehicle control, has achieved the clustering analysis, very usefu Platform: |
Size: 64512 |
Author:童 |
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Description: 实现两种不同数学理论下的模糊聚类方法,比普通聚类拥有更大的灵活度和调整性。-Fuzzy clustering method under two different mathematical theory, have more than the average clustering flexibility and adjustability. Platform: |
Size: 3533824 |
Author:边疆 |
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Description: 模糊聚类分析是根据客观事物间的特征、亲疏程度、相似性,通过建立模糊相似关系对客观事物进行聚类的分析方法。-Fuzzy clustering analysis based on objective characteristics, the degree of relatedness, similarity, through the establishment of fuzzy cluster analysis method of objective things. Platform: |
Size: 3072 |
Author:汤继开 |
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Description: This paper describes the application of an identification algorithm clustering type Gustafson-Kessel nonlinear
dynamical system. From input-output data the algorithm generates fuzzy models of Takagi-Sugeno. This type of modeling is applied
to a non-linear numerical model. The non-linear input / output model of the system is decomposed in several described by
membership functions and fuzzy rule-based local linear systems. The results are presented and prospects for future work. Platform: |
Size: 152576 |
Author:orques
|
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Description: Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters Platform: |
Size: 3156 |
Author:Mustafa_92 |
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