搜索资源列表
kmeans-plusPlus
- K-means++算法实现，加强了初始聚类点的选取（careful seeding）-K-means++ algorithm to enhance the selection of the initial clustering points (careful seeding)
wine
- pca-kmeans聚类 先将数据(wine,uci数据集)降维处理，在进行聚类-pca-kmeans clustering use the data of uci:wine.
kmeans_clustering
- kmeans clustering in matlab
K-Means
- 较简单的KMeans聚类算法实现，编程语言matlab-Clustering KMeans relatively simple algorithm, programming language matlab
k_means
- this code is a faster kmeans clustering implementation
Kmeans_clustering_matlab
- 以227家公司的数据为基础进行kmeans clustering分组，用以预测50家未知公司的效益-Use 227 the companies data as the basis for kmeans clustering to predict the effectiveness of the 50 unknown companies
KMeans
- KMeans聚类 (KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.-(KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.
text_seg
- this a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.-this is a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.
192010k-average
- kmeans均值聚类算法:一种改进的基于半监督聚类的入侵检测算法ASCID（Active-learning Semi-supervised Clustering Intrusion Detection），-kmeans clustering algorithm Algorithm was simulated by KDD 99 datasets， which the experimental results demonstrate that ASCID algorithm can impro
KMEANS
- K-Means动态聚类算法源程序。可以用来发现社团结构。-Dynamic K-Means clustering algorithm source code. The structure can be used to find associations.
kmeans
- K-means is a clustering algorithm In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve a
KMeans_Matlab
- Kmeans clustering algorithm
kmeans
- 使用K－均值聚类算法在IRIS数据上进行聚类分析.-K-means clustering algorithm using IRIS data in the cluster analysis.
kmeans
- 聚类算法 k均值 该算法简单 容易看懂 是基本的算法-kmeans clustering
clusterImg
- This function implements kmeans clustering on an input RGB (m x n x 3) image.
kmeans
- K均值有效执行++多元数据的聚类算法。它已经表明，该算法具有的总群集内距离的期望值是日志（K）的竞争力的上限。此外，K -均值++通常远高于香草收敛K均值少。-An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value o
warp-kmeans
- 传统的kmeans聚类算法不能保证时间序列聚类结果的时序性；基于warp-kmeans聚类算法可以有效处理时间序列的聚类问题，而且复杂度低，迭代次数少。 ，输出有目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据和相关文献，点击 test.m 可以完美运行(The traditional kmeans clustering algorithm can not guarantee the time series of the time series clustering results
kmeansclustering
- THIS KMEANS CLUSTERING FOR IMAGE....
kmeans
- kmeans算法，对影像进行聚类分类，matlab语言，模式识别(kmeans clustering algorithm)
kmeans聚类算法
- kmeans聚类分析，无监督学习实现Matlab代码(Kmeans clustering analysis, unsupervised learning implementation of MATLAB code)