搜索资源列表
k-means
- 这是K均值算法,采用c语言编写,K的取值为2,大家可以改变K的值来进行测试-This is the K-means algorithm, using c language, K value of 2, we can change the value of K for testing
k-median
- 这是一个关于k中心聚类的算法，希望大家指点。-It is a clustering algorithm k centers, I hope everyone pointing.
k-means
- 空间数据分析中最常用的是聚类分析,而K-MEANS算法是聚类分析中常用的,其主要思想是在给定的聚类数目下对多维(我做的是三维空间点)向量进行聚类,-Spatial data analysis is the most commonly used cluster analysis, while the K-MEANS algorithm is commonly used in cluster analysis, the main idea
kmeanforvoice
- K-MEAN:经典K均值算法,适用领域：语音识别，图像识别-K-MEAN: classical K-means algorithm, the application areas: speech recognition, image recognition
K-Means
- K均值聚类算法 C++实现的K均值聚类算法。-K means clustering algorithm C++ Achieved K-means clustering algorithm.
Kmean
- 自行implement的k-mean(含fuzzy c mean)，可以直接於vc++針對大量數據進行分群的動作-Implement on its own the k-mean (with fuzzy c mean), can be directly in vc++ For clustering large amount of data movement
ClusterBasics-V1.0
- 各类聚类算法程序包，包含各种经典的聚类算法，例如：k-mean聚类等-Various types of clustering algorithm package, contains a variety of classic clustering algorithms, such as: k-mean clustering, etc.
K-Means
- 这是K-neans动态聚类算法的源程序，是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
K-mean
- K均值算法： 给定类的个数K，将N个对象分到K个类中去， 使得类内对象之间的相似性最大，而类之间的相似性最小-K-means algorithm: the number of a given type of K, will be assigned to N objects of category K go, making the object category similarity between the largest,
k-centers
- 不同于k均值聚类的k中心聚类，2007年SCIENCE文章Clustering by Passing Messages Between Data Points 中的方法-Unlike k-means clustering of the k cluster centers, in 2007 SCIENCE article, Clustering by Passing Messages Between Data Points of the
kMeans
- k-mean image clustering source code developed using java
SimpleRegionGrowing
- usefull k-mean algorithm developed for image clustering using java
K_Mean
- Source code for K-Mean algorithm
textureseg
- 用多尺度Gabor小波滤波器组实现纹理分割，其中聚类算法采用K均值聚类，本科毕业设计，省优秀-multi-scale Gabor wavelet，texture segmentation，k-mean clustering
kmeansClusters
- Image segmentation k mean clustering
K-Means-Color-Reduction
- 基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。-Based on the K-MEANS algorithm image fade
kmeanmatlab
- k-mean program INPUT A Matrix or dataset K Number of clusters to find (optional default: 2) MAXIT maximum number of iterations (optional default: 50) INIT Labels for initialisation, or rand : take at rando
kmeans1
- K-mean image segementation Choose cluster centers and point-cluster allocations to minimize error
test_kMeansCluster.m
- K mean cluster matlab code
K-mean
- K平均聚类法，比较好用，又需要的赶紧下吧-K-clustering method to compare easy to use, but also hastened to the needs of the next bar