搜索资源列表
k-means Doc
- K-means Code Descr iption
fuzzy k-means
- Fuzzy K-Means Codes for Data Mining
kmeans1
- 实现k-means算法的matlab代码(the matlab code of the k-means algorithm)
k_means
- MATLAB编写K-means算法，已通过验证，并且已经做成函数，可以直接使用(MATLAB writes the K-means algorithm, which has been verified, and has been made into a function that can be used directly)
k-means
- 增加椒盐噪声对图像进行去噪处理后，实现图像分割(Adding salt and pepper noise to image denoising,realization of image segmentation)
k-means-master
- just a silly k-means implementation in MATLAB. 简单的用MATLAB实现的kmeans算法(just a silly k-means implementation in MATLAB.)
kmedia
- 利用所编的程序，完美的实现经典的K-means聚类算法分析。(Using the program compiled, the classic K-means clustering algorithm is realized perfectly.)
Clustering-master
- 深度学习中，用matlab对k-means算法进行了实现，运行效果还不错，第一次上传文件，多多指教(The k-means algorithm is implemented.)
project
- k means clustering source code matlab
kmean
- 一个学习k均值聚类的实例，代码实现了其基本原理，简单易懂，带有测试，训练数据集，可直接上手操作(A learning k-means clustering example, the code to achieve its basic principles, easy to understand, with a test, training data set can be used directly)
Kmeans
- python实现的k-means聚类算法(k-means clustering algorithm implemented by python)
K_means
- k-means的实现，基本的计算方式，444(k means asdasdsfsafdsadfas)
5
- 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，附参考论文资料。(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers are attached.)
6
- 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，附参考论文资料和相关解释。(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached.)
1
- 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，附参考论文资料和相关解释。多目标优化 一个含有两个优化目标的多目标优化问题(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached. M
2p
- 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，附参考论文资料和相关解释。多目标优化 含有两个优化目标的多目标优化问题(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached. Mul
KmeansSegmentation
- Segmentation using K-means algorithm
background
- backgound subraction using gaussian mixture model and k means clustering
K-means
- 一种聚类算法：K-means聚类，实测绝对没有问题(A clustering algorithm: K-means clustering, no problem is absolutely no problem)
AnalysisKSVDbox
- K-SVD可以看做K-means的一种泛化形式，K-means算法总每个信号量只能用一个原子来近似表示，而K-SVD中每个信号是用多个原子的线性组合来表示的。 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用。(K-SVD can be regarded as a generalized form of K-means. The total K-means algorithm can only approximate one signal for each sem