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K-均值聚类算法
- 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
FCM.模糊C均值图像分割方法的Matlab程序源代码
- 上传内容为模糊C均值图像分割方法的Matlab程序源代码,From the contents of the fuzzy C-means image segmentation of the Matlab source code
K_means_color_segmentation.rar
- 用k-means 做彩色图像分割，分类数可选,Using k-means to do color image segmentation, classification number of optional
ImageClustering.rar
- 本程序实现了K均值(HCM)算法，ISODATA算法，模糊C均值(FCM)，模糊阈值法等对遥感影像的分割。,This program implements K means (HCM) algorithm, ISODATA algorithm, fuzzy C means (FCM), fuzzy threshold law of remote sensing image segmentation.
kmeans
- 基于matlab的图像k均值算法，实现对一副彩色图像进行分割。-Matlab image based on k means algorithm, to realize a color image segmentation.
kmeans
- k均值图像分割，经典的图像分割方法，算法简单，效果好。-k-means image segmentation
pc
- 利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文。-Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.
kmeans-image-segmentation
- 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
K-Mean
- 遥感影像K均值分类算法，针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
99273866Ms_segmenter
- 用matlab实现的图像k均值分割，很好用的，以经过验证-Using matlab to achieve k-means image segmentation, well used to a proven
K-means
- k-means 经典算法，c语言实现，要的下载-classical k-means algorithm, c language, it is necessary to download
julei
- 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
K_average
- k均值聚类或者成为均值聚类，用于对各个数据进行分类-k-means clustering or a means clustering for the classification of the various data
K
- K均值算法-分类器-有效抑制边缘点影响-简单有效-K-means algorithm- Classifier- effectively inhibiting the impact of edge points- simple and effective
fuzme_matlab
- Fuzy K Means 快速图象分割Fuzy K Means Fuzy K Means-Fuzy K Means Fuzy K MeansFuzy K MeansFuzy K MeansFuzy K MeansFuzy K Means
kmeans-image-segmentation
- K均值算法实现图像的分割，分割效果可以达到预期的效果-K-means algorithm to achieve image segmentation, segmentation results can be achieved the desired results
51622445texturepinyuA2
- 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
73462683ClusterImageSeg
- 模糊均值聚类FCM算法对图像的颜色聚类 进行图像分割 聚类个数和聚类中心都是事先决定的-Fuzzy-means clustering algorithm FCM clustering for color image segmentation and clustering the number of cluster centers are determined in advance
K-Means PCA降维
- 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
K-means图像识别
- 利用K-means对图像进行聚类，识别。您可以设置参数达到更好的识别效果(Using K-means to cluster and identify images.You can set parameters to achieve better recognition results)