搜索资源列表
k-nearests-neighbour
- k-近邻算法 m文件 及其excel示范-this package invulved a m-file example of k-nearest neighbour and its corresponding excel file
clustering
- 模糊聚类算法，K-means and K-medoid algorithms，Fuzzy C-means algorithm，The Gustafson{Kessel algorithm，The Gath{Geva algorithm-Fuzzy clustering algorithm, K-means and K-medoid algorithms, Fuzzy C-means algorithm, The Gustafson (Kessel algorithm, The Gath (Gev
proj10-01
- 在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。-In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to
fuzzy_k_means
- 模糊K均值算法实现。Fuzzy K Means algorithm.-Fuzzy K Means algorithm.
K-means
- 均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
kme
- k-means Clustring sub routine very useful Texture Image Segmentation
clusterImg
- code for image clustering using k-means
k-means
- segmentation is done by k-means algorithm
k-means-on-matlab
- k-means on matlab -k-means on matlab .........
K-means-in-data-mining
- K-means Clustering in data mining
K-means-clustering-algorithm
- 用matlab实现K均值聚类算法，里面有详细的英文备注和举例，可以看明白-Achieved using K means clustering algorithm matlab
kmeans2
- k-means image segmentation algorithm
k-means
- 用于实现二维点的k均值分类的功能。输入n个数以及要求分成的类别数，将输出最终的分类结果，并且得到代价。-Used to implement k-means classification of two-dimensional point of the function. N number of input and request the number of categories into the output end of the classification results, and get a
k-means-clustering-of-rbf-
- 聚类算法：聚类分析是指事先不了解一批样品中的每一个样品的类别 基于k均值聚类学习算法的rbf神经网络实现-Clustering algorithm: cluster analysis is the prior knowledge of each batch of samples in the sample of category learning algorithm based on k means clustering of rbf neural network
system-of-K-Means-and-its-plus
- 实现了k-means极其改良算法，提高了聚类的精度。内附详细文字说明及源代码，配有图形界面演示。-The implementation of k-means algorithm and its plus.Improve the accuration of clustering.The document and source are both added.
k-means
- k-means算法 通过c++来实现，编译已通过，簇的分类 -acheive k-means
k-means
- k means 聚类 聚类 聚类 聚类 聚类-k means
K-Means
- K-Means Algorithm with x.mat to arrange items.
K-means
- k-means均值聚类分析代码可以实现二维文件的读入，以及文件的输出，还可以根据需要选择聚类中心数-k-means clustering analysis of two-dimensional code can read the file, and document output, but also can select the number of cluster centers
K-Means
- K-Means聚类算法 Matlab代码，内有程序注释。-K-Means Matlab