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这是K-means聚类算法的源代码，可实现任意多统计数据的归类处理。代码为原创，用途主要在数理统计方面，而不是常见的图像处理等方面。内附详细的使用说明。-This is the K-means clustering algorithm source code, enabling the classification of any number of statistical data processing. Code for my original, uses mainly in mathemat
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This files are related to implementation of the article entitled "Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation".
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对HARQ系统的吞吐量分析，实现了图像的灰度化并进一步用于视频监视控，可实现对二维数据的聚类。- HARQ throughput analysis of the system, Achieve a grayscale image and further control for video surveillance, Can realize the two-dimensional data clustering.
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基于K均值的PSO聚类算法,用于图像处理的独立分量分析，基于混沌的模拟退火算法。- K-means clustering algorithm based on the PSO, Independent component analysis for image processing, Chaos-based simulated annealing algorithm.
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主要是基于mtlab的程序，基于K均值的PSO聚类算法,实现了图像的灰度化并进一步用于视频监视控。- Mainly based on the mtlab procedures, K-means clustering algorithm based on the PSO, Achieve a grayscale image and further control for video surveillance.
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用MATLAB实现动态聚类或迭代自组织数据分析，用于时频分析算法，毕设内容，高光谱图像基本处理。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, For time-frequency analysis algorithm, Complete set content, basic hyperspectral image processing.
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a code in python for kmean clustering in image
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integrated spatial fuzy clustering with level set methods for automated medical image segmentation
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Kmean clustering for image segmentation
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用自组织映射网络进行聚类分析，然后可以用于颜色识别，图像分割(Clustering analysis using self-organizing mapping network can then be used for color recognition, image segmentation)
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