搜索资源列表
KMEANS(matlab)
- Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
qiuzhijianlifengmianyishu
- 基于动态的K值均值酸法 MATLAB 动态聚类K值的算法-based on the dynamic K-means acid MATLAB dynamic clustering algorithm K
fastkmeans
- 快速k-means算法，比matlab 自带的要快很多。-rapid k-means algorithm, compared to the Matlab bringing their much faster.
UseMatlabandCtorealizeKmeans
- 这是一个用c和matlab编写的程序，用于实现k-means算法
K_MEANS
- K-MEANS算法程序(MATLAB环境)
Medoidshift
- 中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。 MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab
k_means
- k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。 Matlab 源代码，以兰花数据集作为测试对象。
clustering.rar
- 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
K聚类
- 聚类，这是一个用MATLAB编写的kmeans算法，主要用通常的聚类分析(Clustering, which is a MATLAB written in kmeans algorithm, mainly with the usual clustering analysis)
Kmeans
- K-means算法的matlab实现，附带原始数据(matlab code of K-means in machine learning)
KMeans
- K-means算法是将样本聚类成k个簇（cluster）。(The K-means algorithm is to cluster the samples into k clusters.)
81801236k.matlab
- 利用matlab实现k均值聚类算法，亲自调试通过，对于学习k均值聚类算法有很大帮助(Using MATLAB to achieve K means clustering algorithm, personally debugging through, for learning K mean clustering algorithm is very helpful)
MATLAB-image-processing-master (1)
- 图像处理算法在空间域和频域的简单滤波等方面的实现，实现了像霍夫变换和k均值算法的图像分割算法。(Image processing algorithm in the spatial domain and frequency domain of simple filtering and other aspects of the realization of the image segmentation algorithm such as Hough transform and k-means alg
kmeansuanfa
- 对大量的数据通过matlab软件，运用k均值聚类算法进行分类，(By using matlab software, a large number of data are classified by using k-means clustering algorithm.)
ksuanfa
- 对大量的数据通过matlab软件，运用k均值聚类算法进行分类，上传文件中含例子(A large number of data are classified by matlab software, using k-means clustering algorithm to classify and upload files with examples)
MeanShiftCluster
- 该算法实现了均值漂移聚类算法，在MATLAB平台下有很好的结果验证(MeanShiift Cluster, it improves the performance than tradional cluster algorithm, such k-means cluster algorithm.)
EWKM
- 子空间聚类算法EWKM (Entropy Weighting K-Means) 在matlab上的实现。(Entropy Weighting K-means which is one of the subspace clustering algorithm written in Matlab.)
K-means
- 利用MATLAB实现K均值聚类算法，加深对该算法的理解。(We use MATLAB to achieve K mean clustering algorithm to deepen our understanding of the algorithm.)
基于 K-means 聚类算法的图像区域分割
- 本程序使用matlab软件，实现了基于K-means聚类算法的图像分割。(Image split based on K-means was done by using Matlab.)
改进的基于划分算法的三维点云聚类matlab实现
- 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divi