搜索资源列表
kmeans_matlab.m
- this the simple implementation of kmeans algorithm, using fisheriris dataset and kmeans function matlab s library-this is the simple implementation of kmeans algorithm, using fisheriris dataset and kmeans function matlab s library
kmeans_demo1
- MATLAB kmeans 算法目前很火，适合初学MATLAB者学习，用k means 算法分类高效
KmeansPED
- 基于ED的kmeans聚类算法，开发环境为matlab-Kmeans clustering algorithm based on ED，The development environment of matlab
KmeansPDTW
- 基于DTW的kmeans聚类算法，开发环境为matlab-Kmeans clustering algorithm based on DTW，The development environment of matlab
K-Means
- matlab kmeans 程序说明与数据源代码-matlab kmeans source
image-segmentation_Kmeans
- Kmeans算法分割分割彩色图片，对于颜色区分明显的图片有很好效果，使用时只需要更改处理图片的路径即可，Matlab程序-color image segmentation
kmeanspp
- Kmeans聚类算法matlab实现，仅作为参考，没有数据，需要自己加入-K Means clustering algorithm matlab realize, only as a reference, there is no data, we need to add yourself
KMeans_Practice
- 聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。-matlab kmeans algorithm
Graph-based clustering and data visualization algorithms
- This Matlab package is written specifically for the book Ágnes Vathy–Fogarassy and János Abonyi: Graph-based clustering and data visualization algorithms. The purpose of the package is to demonstrate a wide range of graph-based clustering and visuali
myKmeans.m
- 模式识别学习中使用matlab编写的Kmeans算法实现的小程序-Learning to use pattern recognition matlab prepared Kmeans algorithm small program
monituohuo_kmeans
- 利用模拟退火算法改进的kmeans算法，可以实现分类也可以用来分割，matlab版本-Improved simulated annealing algorithm kmeans algorithm can also be used to classify segmentation, matlab version
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)
tulun_km
- Using graph theory to deal with clustering problems
SpectralClustering
- 谱聚类的matlab实现demo，有谱聚类实现代码，还附带简单的kmeans代码(The spectrum clustering matlab implements demo, with spectral clustering implementation code, with simple kmeans code)