搜索资源列表
K-means_cluster
- 这是一个基于K-means的聚类算法,可用于网页信息聚类,例如电子产品的型号聚类等。-This is based on the K-means clustering algorithm, clustering can be used for website information, such as electronic products, such as the Model Cluster.
k-means1
- k-means分群法,繁体中文版。以javascr ipt写成,网页上即可执行。自动产出结果。-k-means clustering, Traditional Chinese version. Javascr ipt written to the webpage can be executed. Auto output results.
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_Matlab
- K-均值算法的Matlab源代码,比较简短-Matlab source code of K-means algorithm
k-means
- k均值聚类算法源码 聚类算法学习的实例功能-k-means cluster algorithm
K-Means
- 聚类算法主要针对k-均值法求解聚类问题,可以用于神经网络。-k-means
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
K-Means.Algorithm
- 算法,k-mean搜索方法,执行起来很快,推荐。-Algorithm, k-mean search methods, to implement quickly, recommended.
h-k-means
- 用MATLAB编写的层次-K-MEANS算法,简单实用,希望对您有帮助-Written using MATLAB level-K-MEANS algorithm is simple, practical, hope you find this helpful
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
- 模式识别中的K均值聚类分析方法,该方法力偶那个迭代过程来进行处理,一步步逼近结果-Pattern Recognition Analysis of K-means clustering method Couple iterative process to deal with that, step by step approach results
k-means
- 名为k-means的MATLAB函数,实现k均值算法。输入矩阵X,w,输出最终估计值和聚类的标识数字。-Called the k-means of the MATLAB function, to achieve k means algorithm. Input matrix X, w, the output value of the final estimates and cluster identification number.
K-MeansClusteringusing
- K均值聚类的一个实例,附上.dat文件和程序以及运行结果,和大家一起讨论,-K means clustering of an example, attached. Dat files and programs, and operating results, and we can discuss, Oh
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 算法的一种C# 实现,数据挖掘聚类算法-K-MEANS ALGORITHM
mean-K-KPCA
- 通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics
K-mean
- K-means算法是很典型的基于距离的聚类算法,采用距离作为相似性的评价指标,即认为两个对象的距离越近,其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
K均值对iris数据集聚类
- k-means算法对irisdata数据集进行聚类(The k-means algorithm clustering the irisdata datasets)
K均值对图像进行聚类分析
- 用k-means算法对图像进行聚类,适合于初学者(K-means algorithm for clustering images, suitable for beginners)
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.)