搜索资源列表
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13下载：
K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
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快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
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模式识别中的K均值聚类算法 简单易行 编码通俗易懂-Pattern Recognition in the K-means clustering algorithm for a simple user-friendly coding
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K均值聚类算法 由于对纹理图像使用灰度共生矩阵分割效果不明显 因此该算法使用图像频域进行处理-K-means clustering algorithm because of the texture image segmentation using the gray co-occurrence matrix effect was not obvious, therefore use the algorithm for processing images in frequency domain
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K均值聚类算法 对图像颜色进行聚类 然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
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所上传文件包包括6种vc++源代码：使用opencv的实现可视图的静态路径规划；简单的svm算法；基于vc2008的图像匹配（多工程结构）；基于局部搜索的K-means聚类算法；三维匹配中的ICP算法；视觉tracking中的condensation算法-Upload file package, including the six kinds of vc++ source code: using opencv to view the realization of the static path
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KMEANS源代码：k-means 聚类算法 图像处理分割-KMEANS源代码：k-means clustering algorithm for image processing segmentation
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可以很好的将一个图像矩阵进行聚类，生成一个聚类后的图像。-A based on the matlab image k-means clustering algorithm program
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k-means聚类算法的matlab代码
截图的 想用还是自己手打吧-k-means clustering algorithm matlab code screenshot or their own hands to fight it.
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K-means 聚类算法Matlab代码，基于 K-means 聚类算法的图像区域分割-K-means clustering algorithm Matlab code, image region segmentation based on K-means clustering algorithm
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将K-means聚类算法应用于图像的分割，留有较多的其他特征接口。-The K-means clustering algorithm is applied to image segmentation, leaving more other features of the interface.
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matlab中K-means聚类算法在CIElab空间的可用于车牌检测，基于色彩的图像分割-K- means clustering algorithm in matlab in the CIElab space can be used for license plate detection, image segmentation based on color
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图像处理，C++环境下的k-means聚类算法，实现图像分割-Image processing, k-means clustering algorithm C++ environment, image segmentation
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运用k_means 聚类算法 对图像进行分类识别 c语言代码-Using k means clustering algorithm for image classification to identify c language code
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该代码实现了k-means聚类算法对图像的分类处理，同时通过RMSE和准确性对比对技术的表现和准确度进行了测试-The code implements the k-means clustering algorithm to classify the image. At the same time, the performance and accuracy of the technique are tested by RMSE and accuracy comparison.
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K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the character
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图像处理领域，基于 K-means 聚类算法的图像区域分割(Image processing domain, image region segmentation based on K-means clustering algorithm)
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实现k均值聚类算法，可以使用彩色图像，通过随机初始化聚类中心，完成聚类(The K-means clustering algorithm can use color images to initialize cluster centers randomly and accomplish clustering.)
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基于K-means聚类算法的图像区域分割(Image region segmentation based on K-means clustering algorithm)
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该算法主要包含PCA算法和K-Means聚类算法，用于SAR变化检测,包含数据图片。(The algorithm mainly includes PCA algorithm and K-means clustering algorithm for SAR change detection, including data images.)
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