Description: 一个采用快速模糊C均值（FFCM）算法实现图像分割的DLL程序！可以用来处理8位的BMP图像！-a fast fuzzy c-means (FFCM) image segmentation algorithm DLL procedures! Can be used to deal with eight of BMP images! Platform: |
Size: 40960 |
Author:徐敏 |
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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: 是一个基于Matlab软件的模糊C-means聚类算法原代码-Matlab is a software based on the fuzzy C-means clustering algorithm source code Platform: |
Size: 2048 |
Author:杨明 |
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Description: 模糊C均值算法的m文件带自己的解释，希望能给大家一点学习上的帮助。
-fuzzy c-means algorithm m document with its own interpretation, in the hope of giving the public a little bit of learning assistance. Platform: |
Size: 13312 |
Author:孙李娜 |
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Description: 本文目前模糊C-均值聚类算法不适用于有噪声和样本不均衡等问题,借助改进算法AFCM和WFCM的思想,提出另一种新的聚类算法。它是AFCM和WAFCM结合的一种算法,但有着更好的健壮性和聚类效果。-This article is currently fuzzy C-means clustering algorithm is not applicable to samples of noise and uneven and so on, with improved algorithm AFCM and WFCM ideas, put forward a new clustering algorithm. It is a combination of AFCM and WAFCM an algorithm, but has better robustness and clustering effect. Platform: |
Size: 198656 |
Author:guoguo |
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Description: 经典的java编写的模糊C算法，已经在eclipse中编译测试成功，可测试出多个gis坐标的中心点-Java prepared classic fuzzy C algorithm, has been in eclipse in the compiler test is a success, can test multiple gis coordinates of the center Platform: |
Size: 12288 |
Author:张三峰 |
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Description: 利用java编写的模糊C均值聚类算法，可以用来图像无监督聚类及图像分割等。-Using java prepared Fuzzy C-means clustering algorithm, can be used to image non-supervised clustering and image segmentation and so on. Platform: |
Size: 4096 |
Author:huangyu |
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Description: 利用java写的快速模糊C均值算法，用与图像分割，聚类等领域。-Using java to write fast fuzzy C-means algorithm using image segmentation, clustering and other fields. Platform: |
Size: 3072 |
Author:huangyu |
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Description: 模糊C均值聚类算法处理的图像分割，模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure. Platform: |
Size: 2048 |
Author:fujie |
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Description: 基于fuzzy c-means（FCM）的无监督模糊聚类算法，输出值有：各个样本的类别标签、目标函数在每次迭代后的值、聚类中心以及聚类区间。内有测试数据data.mat，点击 test.m 可以完美运行。(The unsupervised fuzzy clustering algorithm based on fuzzy c-means (FCM) outputs the class labels of each sample, the value of the target function after each iteration, the clustering center and the clustering interval. There is test data ('data.mat') inside, click ' test.m' to be able to run perfectly.) Platform: |
Size: 16384 |
Author:Galsang
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