Description: 模糊核聚类及几篇文章，用于数据和图像的模糊聚类分割，效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK Platform: |
Size: 1381338 |
Author:张莉 |
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Description: 一个利用各种聚类算法实现遥感影像分割的程序，包括K均值、ISODATA、模糊C均值等！-use of a clustering algorithm remote sensing image segmentation procedures, including K-means, ISODATA, Fuzzy C - Means, and so on! Platform: |
Size: 514938 |
Author:徐敏 |
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Description: 模糊核聚类及几篇文章，用于数据和图像的模糊聚类分割，效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK Platform: |
Size: 1381376 |
Author:张莉 |
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Description: 首先介绍模糊集基本知识
其次K均值聚类算法(HCM)介绍
最后重点介绍了模糊C均值聚类，
模糊聚类是一种很重要思想，最近再图像处理中就用的了这种思想，也算是一点思维创新-First of all, introduce basic knowledge of fuzzy sets was followed by K-means clustering algorithm (HCM) focuses on the introduction Finally fuzzy C-means clustering, fuzzy clustering is a very important thinking, recently re-image processing on the use of such thinking, but also Innovative thinking is that Platform: |
Size: 17408 |
Author:huiguiyang |
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Description: 图像分割算法之间的比较，比较前沿的放发，利用了kmeans和模糊K均值-Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans Platform: |
Size: 2095104 |
Author:小牛 |
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Description: Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial neighborhood information into the standard FCM clustering algorithm. Two improved implementations of the k-nearest neighbor (k-NN) algorithm are introduced for calculating the weight in the SWFCM algorithm so as to improve the performance of image thresholding. Platform: |
Size: 293888 |
Author:silviudog |
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Description: K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm Platform: |
Size: 46080 |
Author:renli |
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Description: 在本文中，我们提出了一个
所谓自适应模糊-K-均值聚类新方法
（AFKM）聚类的图像分割这可能是
适用于一般的图像和/或特定的图象（即
医疗和显微图像），采用不同的拍摄的
消费类电子产品，即，例如，在
普通数码相机和CCD相机-In this paper, we present a
new clustering algorithm called Adaptive Fuzzy-K-means
(AFKM) clustering for image segmentation which could be
applied on general images and/or specific images (i.e.,
medical and microscopic images), captured using different
consumer electronic products namely, for example, the
common digital cameras and CCD cameras Platform: |
Size: 1701888 |
Author:张恺 |
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Description: In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing Map Neural Network. The implemented code, uses RGB and HSV color coding, to perform the clustering task, and user can desired approach of coding.-In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing Map Neural Network. The implemented code, uses RGB and HSV color coding, to perform the clustering task, and user can desired approach of coding. Platform: |
Size: 252928 |
Author:Mustafa |
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Description: Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB
In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing Map Neural Network. The implemented code, uses RGB and HSV color coding, to perform the clustering task, and user can select desired approach of coding. Platform: |
Size: 248832 |
Author:amardz |
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Search - fuzzy k means image clustering