搜索资源列表
k-meanssss
- 聚类算法中的经典k均值用c++实现的，测试结果还不错-Classical clustering algorithm k means in c++ implementation with the test results is not bad
k-means
- 用于实现二维点的k均值分类的功能。输入n个数以及要求分成的类别数，将输出最终的分类结果，并且得到代价。-Used to implement k-means classification of two-dimensional point of the function. N number of input and request the number of categories into the output end of the classification results, and get a
k-means-clustering-of-rbf-
- 聚类算法：聚类分析是指事先不了解一批样品中的每一个样品的类别 基于k均值聚类学习算法的rbf神经网络实现-Clustering algorithm: cluster analysis is the prior knowledge of each batch of samples in the sample of category learning algorithm based on k means clustering of rbf neural network
k
- k均值聚类算法源码，比较经典，无解压密码-k means clustering algorithm source code, more classic, without extracting passwords
K-means
- K-均值聚类算法程序，数据挖掘中比较经典的一种聚类算法-K-means clustering algorithm procedures
kmean
- 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorit
K-means
- 一种K-均值算法附有测试数据，希望给学习聚类的提供一点帮助-One kind of K-means algorithm with test data, clustering offers hope to learn a little help
K-average(N-dimension)
- K均值聚类算法实现有二维的聚类扩展到任意维样本点的聚类，代码中附加了详细的原理性说明，还有相关例子提示，效果不错-K-means clustering algorithm to achieve a two-dimensional clustering extends to any dimension of the cluster sample points, the code attached to the principle of detailed instructions, and tips
fuzzykmeans
- 模糊k均值算法，将模糊理论和k均值聚类算法想结合。-fuzzykmeans clustering ,combine the fuzzy theoy and kmeans clustering.
K-MEANS-N
- K均值聚类算法实现有二维的聚类扩展到任意维样本点的聚类.-K-means clustering algorithm to achieve a two-dimensional clustering extends to any dimension of the cluster sample points.
11
- K均值，随机产生一组数据并加以聚类，是学习图像处理的基础-K-means, random values, and clustering
K-means
- K均值聚类算法，网上已存在很多，我是新手，大神的看不懂，觉得自己编的比较适合菜鸟理解吧-K-means clustering algorithm
K-mean
- 用K均值聚类法对数据进行分类，比较简单和基础的分类方法，可用于图像处理-With the K-mean method for data classification, the classification of simple and basic method can be used for image processing
K-Mean-Clustering-Code-in-Matlab
- k 均值聚类算法 ，能有效的将数据分成k类 但是具有k参数难以确定的缺点。 -k-means algorithm can cluster data into K class but, the parameter K can not be selected easily.
K-image-RGB
- 用C语言实现一张BMP图像的所有点的RGB的K-均值聚类程序，生成两个聚类中心。可根据具体情况稍作修改后直接调用。-VC6.0 digital image RGB
k-means
- 次算法基于欧式距离，用于数据挖掘k均值聚类算法,或者用于数据挖掘作业-for dating ,kmeans
k-JUNZHI
- K均值的MATLAB实现还有PPT,主要用于实现文本分类-K-means realization on MATLAB and PPT
K
- K 均值聚类程序，可以进行K均值聚类，是模式识别的一个重要算法-K-means clustering procedure, the K-means clustering is an important pattern recognition algorithm
K-means
- 数据挖掘中得k-均值算法的c++实现，可以使你对数据挖掘算法有个初步的了解。-k-means algorithm in data mining is achieved with c++ . Allows you to have a preliminary understanding of the data mining algorithms.
K-means-clustering-experiments
- 经过一周的深入学习和参考本站的资料，对K均值进行了改进。可以针对简单的二维的矩阵进行任意中心个数的聚类，并且能够生成图像。-K-means clustering experiments