搜索资源列表
Kmeans_grayimage
- 简单的灰度图像的K均值聚类分割，Matlab实现-gray image segmentation using K-means clustering by matlab.
matlab-code
- 模式识别c均值聚类，也陈k均值，是模式识别中最最要的聚类方法之一。-Pattern Recognition, c-means clustering, and Chen k means, is far the most to the clustering pattern recognition methods.
K-means
- k-means 算法的实现，提供数据，且能够顺畅运行-K-means,method,which is a famous method to cluster data. This package also give you the data to do experiment. It can run frequently
k-means
- C++版，简单的实现k-均值算法。-C++ version, a simple realization of k-means algorithm. .............
k-means
- k-means算法实现WEB搜索，用模拟退火，对K-means聚类算法进行数据挖掘-k-means algorithm WEB search
K-PNN
- K-PNN Algorithm a type of k nearest neighbor algorithm
cluster
- K means clustering of data implemented for all kinds of data-K means clustering of data implemented for all kinds of data...
K_Mean
- it implements K-means algorithm in pattern recognition
kmeans_Shyam_Sivaraman_v.0.1
- k-means java code source
ClusterAnalysis
- k means algorithm to develop clustering on a database
kmeans
- java k均值源码，实现了k-means的算法，并给出界面显示。实例中通过二维空间中的点进行聚类。-java k-means algorithm, display the cluster result on the two demension.
k-meanAlgorithmforsegmentationofdigitalimage
- k-mean Algorithm for segmentation of digital image
k-means_ColorImage_Segmentation
- This program written in MATLAB will find the clusters centriods using the K-Means algorithm for color images
k-means
- k-均值聚类算法c语言版，经验证测试是可以运行
K-means
- kmeans算法代码，已经通过验证，可以正常使用，没有病毒
brain_tumor_fcm
- In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to
K-Means
- 一个很好的C均值聚类算法！通过运行此文件可以很好的进行数据的分类。-K-means
File3
- 数据挖掘，聚类，遗传算法，k-means算法，基于遗传算法的k-means聚类方法。-Data mining, clustering, genetic algorithm, k-means algorithm, based on genetic algorithm k-means clustering method.
kMeansClustering
- K-Means Clustering implementation
1
- 模式识别分层聚类、k—均值算法，支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt