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k-meansjava.rar
- 用JAVA语言实现的经典聚类算法k-means，聚类与分类不同，它是无监督的过程，,JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process,
K_means
- 对两类样本，进行K均值分类，K为2，最后将两类样本用不同的形状标出-Two kinds of samples for K means classification, K 2, the last two samples will be marked with a different shape
K-Mean
- 遥感影像K均值分类算法，针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
stprtool15aug08
- 统计模式识别算法包，包括线性分类算法，SVM，PCA，LDA，EM，k-means分类等多种常用的模式识别算法。-Statistical pattern recognition algorithm package, including a linear classification algorithm, SVM, PCA, LDA, EM, k-means classification and many other commonly used pattern recognition algori
K
- K均值算法-分类器-有效抑制边缘点影响-简单有效-K-means algorithm- Classifier- effectively inhibiting the impact of edge points- simple and effective
k-means
- 实现了K均值算法，可以对movielens上的数据进行自动分类，给出推荐值，是数据挖掘中的信息推介必要的算法工具。可以直接对movelens的数据进行聚类-Implementation of the K-means algorithm, can movielens on automatic classification of data, recommend give the value of data mining are to promote the necessary information
K-meansNB
- ：将K—means算法引入到朴素贝叶斯分类研究中，提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me．arks算法对原始数据集中的完整数据子集进行聚类，计算缺失数据子集中的每条记录与 个簇重心之间的相似度，把记 录赋给距离最近的一个簇，并用该簇相应的属性均值来填充记录的缺失值，然后用朴素贝叶斯分类算法对处理后的数据 集进行分类。实验结果表明，与朴素贝叶斯相比，基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will
kMeansCluster
- k均值分类 效率高 代码简单 利用最小均方误差准则编写-k-means efficient
K-meansclusteringalgorithmmatlabprogram
- 模式识别课上的大作业，要求用K-均值算法对150个样本进行分类。-Pattern Recognition course the big job, asked to use K-means algorithm to classify 150 samples.
k-means
- 对BMP图像进行K_MEANS分类，效果较好，对初学者学习k_means分类算法很有帮助。-K_MEANS image classification of BMP, effect is better, K_MEANS classification algorithm for beginners helpful.
K-means-cSharp--code
- 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-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
K-means
- K-means分类器，java实现，可以自己设定类别数目。已做成jar-K-means classifier, java implementation, you can set the number of categories. Has made jar
小波变换 k-means分类
- 基于小波变换的 k-means 分类，matlab算法源码 初学者参考
k-means
- k-means分类测试，通过自己建造数据集测试分类方法使用效果-K- means classification test, by building their test data set classification method using effect
k-means
- k均值，数据已经有了，主要用于分类，美列都是一类数据，只用了其中一部分，数据是自己编的。(K mean, data already exists, mainly for classification, the United States column is a kind of data, only a part of the data is their own series.)
k-means
- 此种k-means 算法可以快速的对随机产生的随机数据，进行分类，而且分类的效果比较好，效果直观。(This kind of k-means algorithm can quickly classify randomly generated random data and classify it, and the classification effect is better and the effect is intuitive.)
K-means
- K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。K-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最优分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The K-means algorithm is a hard clustering algorithm, which is representative of the prototy
k-means.py
- 通过python实现了k-means分类。(The python implementation of the K-means classification.)
K-means聚类
- 应用K-means聚类算法，实现对iris数据集的分类(Using K-means clustering algorithm to realize the Classification of iris dataset)
k-means
- k-means算法实现的数据分类，python代码，可直接运行(K-means algorithm to achieve data classification, Python code, can be run directly)