Description: 具体阐述了FCM聚类算法的的相关知识，相信对分类方面的研究会很有帮助-specify a FCM clustering algorithm associated knowledge, I believe that the classification will support research Platform: |
Size: 17924 |
Author:齐明 |
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Description: 中文文本分类中对文本进行分词处理，以降温本表示称词的集合，然后用词向量来进行分类。-Chinese text classification of text-word processing, said to cool the pool said the words, then word vector to classify. Platform: |
Size: 32768 |
Author:陈海山 |
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Description: 具体阐述了FCM聚类算法的的相关知识，相信对分类方面的研究会很有帮助-specify a FCM clustering algorithm associated knowledge, I believe that the classification will support research Platform: |
Size: 17408 |
Author:齐明 |
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Description: 模糊识别的一种分类方法，属于模糊C均值方法，里面包括了算法与具体步骤。欢迎下载-fuzzy identification of a classification method is Fuzzy C- Means, includes the algorithm and the concrete steps. Welcome to download Platform: |
Size: 1024 |
Author:王小然 |
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Description: 模糊聚类和硬聚类实现的VB代码:
1利用模糊理论的聚类方法把数据分类
2直接利用硬聚类方法把数据分类-Fuzzy Clustering and hard to achieve clustering of VB code: 1 using fuzzy clustering method to the theory of data classification 2 direct access to hard clustering method to data classification Platform: |
Size: 3072 |
Author:风之彩 |
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Description: 里面有模糊聚类分类方法FCM的代码和数字水印算法LSB的实现代码!-There are fuzzy clustering of FCM classification code and digital watermarking algorithm LSB realization of code! Platform: |
Size: 1024 |
Author:代松 |
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Description: 模糊聚类分析传递闭包算法FCM的matlab程序，能对数据进行分类处理-Fuzzy Cluster Analysis of transitive closure of the FCM algorithm matlab program can deal with data classification Platform: |
Size: 2048 |
Author:王璐瑶 |
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Description: 聚类分析isodata算法的C程序，实现对iris数据集分类的功能-ISODATA cluster analysis algorithm C procedures, to achieve the classification of iris data set features Platform: |
Size: 3072 |
Author:王璐瑶 |
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Description: K-MEANS聚类算法，以及PSO和QPSO算法改进K-MEANS算法，breastcancer数据验证了该分类模型的有效性-K-MEANS clustering algorithm, and the PSO algorithm and QPSO to improve K-MEANS algorithm, breastcancer data verified the validity of the classification model Platform: |
Size: 43008 |
Author:李慧 |
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Description: 模糊C均值分类，用于图像处理中 很好用的，极力推荐 -Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend Platform: |
Size: 2048 |
Author:zf_528 |
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Description: 这是个FMC分类程序，可以正常运行，并且精确，希望对大家有用-This is a FMC classification procedures can be normal operation, and accurate, useful for all of us hope Platform: |
Size: 1944576 |
Author:wpw |
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Description: FCM分类，效果很好，希望与大家分享，并多多交流-FCM classification, a good effect, and we wish to share, and interact more Platform: |
Size: 4800512 |
Author:肖康 |
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Description: 遗传算法改进的模糊C-均值聚类MATLAB源码
模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。
-Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard fuzzy C-means clustering algorithm to obtain the optimal classification result. Platform: |
Size: 1024 |
Author:孙准 |
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Description: 模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。-Fuzzy C-means algorithm converges to local minimum points easily, in order to overcome the shortcomings of genetic algorithm is applied to fuzzy C-means algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard Fuzzy C-Means clustering algorithm to obtain the optimal classification result. Platform: |
Size: 1024 |
Author:zsy |
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Description: 模糊C均值聚类，通过设置不同的灰度，可将彩色图像分成若干区域，达到分类的目的。-Fuzzy C means clustering, by setting different grayscale, color images can be divided into several regions, to achieve the purpose of classification. Platform: |
Size: 1024 |
Author:朱旬旬 |
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Description: matlab中FCM分类的代码，是我看过代码中，相对简单的，适合初学者使用-FCM classification code in matlab, I have seen the code, relatively simple, suitable for beginners Platform: |
Size: 2048 |
Author:程志萍 |
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Description: 使用模糊C均值聚类（FCM）的方法对状态进行分类，其优点首先是可以根据实际情况自动确定聚类中心，减少人工干涉的因素，其次，对状态特征参数不是进行硬分类，而是通过隶属度的表征方式对其聚类，更加符合现实状态类别之间不具备明显界限的实际问题。(The use of fuzzy C mean clustering (FCM) method to classify the state, its advantage is first can automatically determine the cluster center according to the actual situation, to reduce the interference of artificial factors, secondly, the state parameters are not hard classification, but through the characterization of Party membership of the cluster, more practical problems have not obvious the boundaries between reality state categories.) Platform: |
Size: 7168 |
Author:蒙奇H |
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