搜索资源列表
NLPprocessing
- NLP中停用词处理，向量空间模型的实现，以及K-means源码-NLP disabled in word processing, vector space model realization, as well as K-means source code
KMEANS
- 对二维数组的最基础的K-means聚类算法的c++实现-Two-dimensional array of the most basic K-means clustering algorithm c++ to achieve
K_average
- 模式识别的经典算法之一，动态聚类的k均值算法，不同于普通的聚敛算法。-One of the classic pattern recognition algorithms, dynamic clustering of the k-means algorithm, the convergence algorithm is different from the ordinary.
kmeans
- 这是基本的k均值算法是模式识别的聚分类问题，这是用C实现其算法以下是程序源代码，希望对大家有所帮助。-This is the basic k-means algorithm is a pattern recognition classification of polyethylene, which is used to achieve its algorithm C Following is the source code, I hope all of you to help.
k-means
- AppWizard has created this DRAGON2 application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application.
KMEANS10
- The k-means algorithm is an algorithm to cluster n objects based on attributes into k partitions, k < n. It is similar to the expectation-maximization algorithm for mixtures of Gaussians in that they both attempt to find the centers of natural clu
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
lyr
- implementation of k means algorithm source code
Kmean_v2_1
- K-Means using Visual Basic 6
KdKeys.DataMining.Clustering.KMeansCS100
- K Means Algrithm it is in v c#.
SimpleKMeans
- k-means聚类算法 指定类别数为K，对样本集合进行聚类，聚类的结果由K 个聚类中心来表达，基于给定的聚类目标函数(或者说是聚类效果判别准则)，算法采用迭代更新的方法，每一次迭代过程都是向目标函数值减小的方向进行，最终的聚类结果使目标函数值取得极小值，达到较优的聚类效果。-k-means clustering algorithm for specific classes of K, the collection of samples for clustering, clustering t
001
- 实现k-means方法 给定数据 将其分为几类 每类的聚合度很高-K-means method to achieve a given data will be divided into several categories for each type of the high degree of polymerization
KMEANS
- 基于c++的k-means聚类分析算法，实用性很强-Cluster analysis algorithm
AdaptiveDimRed
- Paper implementation of Adaptive Dimension Reduction Using Discriminant Analysis and K-means Clustering
mcrversion
- In this paper, we propose a color-based segmentation method that uses the K-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 is
dctconfig
- K-means clustering is a key technique in pixel-based methods. Because pixel-based methods based on Kmeans clustering are simple and the computational complexity is relatively low compared with other
KMeansAlgorithm
- K means classiifcation-K means classiifcation
kmeans_best
- K means for image processing-K means for image processing
clustering
- 一种聚类算法的源代码，用的是k-means，很好用的，我试过-a kind of algorithm for clustering
K_C
- K均值算法C语言实现：算法描述: 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 C language implementation: Algorithm Descr iption: for a given number of classes K, the N objects assigned to a class K to go, making within-class similarity be