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[Other resourceFCMA

Description: 一个改进的聚类算法FCMA,可以实现数据的自适应有效聚类,对2维数据测试效果较好- An improvement gathers kind of algorithm FCMA, may auto-adapted realize the data effectively to gather the kind, is better to 2 dimensions according to the test effect
Platform: | Size: 101131 | Author: 叶健康 | Hits:

[Other resourceiriscloud

Description: In fuzzy cluster analysis, many algorithms have been developed. In general, the most widely used is the Fuzzy c-Means Algorithms (FCMA).-fuzzy cluster analysis, many algorithms have been developed. In genera l the most widely used is the fuzzy c - Means Algori thms (FCMA).
Platform: | Size: 3377 | Author: 李兵 | Hits:

[AI-NN-PRFCMA

Description: 一个改进的聚类算法FCMA,可以实现数据的自适应有效聚类,对2维数据测试效果较好- An improvement gathers kind of algorithm FCMA, may auto-adapted realize the data effectively to gather the kind, is better to 2 dimensions according to the test effect
Platform: | Size: 2031616 | Author: 叶健康 | Hits:

[Other systemsiriscloud

Description: In fuzzy cluster analysis, many algorithms have been developed. In general, the most widely used is the Fuzzy c-Means Algorithms (FCMA).-fuzzy cluster analysis, many algorithms have been developed. In genera l the most widely used is the fuzzy c- Means Algori thms (FCMA).
Platform: | Size: 3072 | Author: 李兵 | Hits:

[AI-NN-PRFCMA

Description: 改进的动态聚类算法,是智能计算的一种重要方法,用vc++编写,有很友好的界面-Developing Dynamic clustering arithmetic, an important method of inteligence computing,developed by VC++ with friend jinterface
Platform: | Size: 2023424 | Author: 江南 | Hits:

[Driver DevelopSC-FDMA

Description: SC-FDMA的完整仿真程序,这是LTE上行所采用的接入方式,非常新的技术,希望对大家有帮助-SC-FDMA complete simulation program, which is used in LTE uplink access, is very new technology, we hope to help
Platform: | Size: 17408 | Author: 孙金枝 | Hits:

[Special Effectsfcma

Description: 模糊聚类算法的实现,用c语言实现,有测试内容,附有测试文件-The realization of fuzzy clustering algorithm, using c language implementation, there are contents of the tests with a test file
Platform: | Size: 3072 | Author: xia | Hits:

[DataMiningFCMCluster

Description: 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它通过优化目标函数得到每个样本点对所有类中心的隶属度,从而决定样本点的类属以达到自动对样本数据进行分类的目的。- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它通过优化目标函数得到每个样本点对所有 您输入的可能是:英语 Fuzzy c- mean clustering algorithm fuzzy c-means algorithm (FCMA) or (FCM). Fuzzy C- means (FCM) algorithm is the most widely used and successful in many fuzzy clustering algorithms
Platform: | Size: 1024 | Author: 曹霞 | Hits:

[matlabFCMCluster

Description: 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它通过优化目标函数得到每个样本点对所有类中心的隶属度,从而决定样本点的类属以达到自动对样本数据进行分类的目的。(Fuzzy c- means clustering algorithm fuzzy c-means algorithm (FCMA) or FCM. Among the many fuzzy clustering algorithms, the fuzzy C- mean (FCM) algorithm is the most widely used and more successful. By optimizing the target function, the membership degree of each sample point to all class centers is obtained, so as to determine the class genera of the sample points to automatically classify the sample data.)
Platform: | Size: 1024 | Author: 灰烬使者灬 | Hits:

[AlgorithmFCM,模糊C均值聚类的MATLAB实现[matlab]-FCM

Description: 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它通过优化目标函数得到每个样本点对所有类中心的隶属度,从而决定样本点的类属以达到自动对样本数据进行分类的目的。(Fuzzy c-means algorithm (FCMA) or FCM. Among many fuzzy clustering algorithms, the fuzzy C-means (FCM) algorithm is the most widely used and successful. It obtains the degree of membership of each sample point to all class centers by optimizing the objective function, thus determining the generic class of sample points to achieve The purpose of classifying sample data automatically.)
Platform: | Size: 6144 | Author: 五道杠骚年 | Hits:

[Other模糊聚类R代码

Description: 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它通过优化目标函数得到每个样本点对所有类中心的隶属度,从而决定样本点的类属以达到自动对样本数据进行分类的目的。(Fuzzy c-means clustering algorithm or FCM. Among many fuzzy clustering algorithms, the Fuzzy C-Means algorithm is the most widely used and successful. It obtains the membership degree of each sample point to all the class centers by optimizing the objective function, so as to determine the class of the sample points to achieve the purpose of automatic classification of the sample data.)
Platform: | Size: 1024 | Author: 卡擦 | Hits:

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