搜索资源列表
kernel_k_means
- kernel kmeans is a fast and efficeient kmeans algorithm implementation
KMEANS
- 使用一种改进的k均值进行图像处理，方便使用-The use of a k-means for improved image processing, user-friendly
kMeans
- k-mean image clustering source code developed using java
kmeans-image-segmentation
- K均值 很好用的K均值代码 -K-means K-means used in a very good code
kmeans
- This the code for vector quantization by using k-means-This is the code for vector quantization by using k-means
matlab
- 余弦距离进行聚类分析，余弦距离kmeans进行聚类分析，-Cluster analysis cosine distance, cosine distance from the cluster analysis kmeans,
kmeans
- 对图像进行分割，使得图像的特征更加明显，这样将更加利与检测-Segmentation of images, making more obvious features of the image, so that profits and testing will be more
cluster
- clustering ---uses a kmeans method-clustering---uses a kmeans method
KMEANS
- K-Means动态聚类算法源程序 在数据挖掘中的应用-K-Means dynamic algorithm source data mining application
KMEANS
- 基于c++的k-means聚类分析算法，实用性很强-Cluster analysis algorithm
kmeans
- Kmeans算法实现带有标签的聚类的算法-Algorithm Kmeans tagged clustering algorithm
KMEANS
- KMeans Algorith Implementation
spectralclustering-1.0
- 一款功能强大的分类算法软件包，在matlab环境下使用。详见如下网站 http://mloss.org/software/view/133/-A MATLAB spectral clustering package to deal with large data sets. Our tool can handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. Spectral clustering a
kmeans
- 数据挖掘中的K均值聚类算法的MATLAB的实现-k means clustering algorithm
kmeans
- 程序很好的实现了k均值的聚类，我已经使使用过，效果非常好，很好用-Program achieved a very good k mean clustering, I have so used, the effect is very good, very good use
Image-Kmeans
- use the k-means algorithm to cluster pixels into a number of clusters representing the texture regions.
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
zfk_example
- 聚类分析里的k均值（kmeans）算法的matlab实现，是老师即将出的书里，我给写的例子，大家看看吧。 -Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.
hierarchicalCluster
- This aplication is a visualizer, implementing an hierarchical clustering, using kmeans.
fuzzy_clustering
- An implementation of fuzzy Kmeans using IDL.