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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,
dataMining.rar
- 数据挖掘的软件,集成了关联规则、k-均值聚类、模糊聚类、k-中心点聚类四种算法,software of data mining
k-means
- 数据挖掘算法源代码 k-means聚类算法的C#代码-Source code data mining algorithms k-means clustering algorithm C# code
k-means
- 关于数据挖掘中的k-means算法的一种C语言实现-Data Mining on the k-means algorithm as a C language
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
- 均值为K的聚类算法,是一种对聚类数据进行的最简单的算法,广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
K-means
- 机器学习 模式识别 二维K-means实现 包括代码、数据和实验-Machine learning pattern recognition, including two-dimensional K-means to achieve code, data and experimental
K-means
- 聚类算法(K-means)源代码,通过对该代码的运行,可以实现对各种数据的聚类显示,最终选出聚类中心-Clustering algorithm (K-means) source code, run through the code, can display a variety of data clustering, selected a cluster center
K-Means
- 数据挖掘K-means算法实现,源码,是大家学习的好资源啊-DM(data mining)
K-MEANS-Clustering
- 实现了一个聚类CMI算法,对给定一个数据集,按要求将其划分为三个类,并计算其分类的效率,并给出一定的结果比较及输出-It s a K-Means clustering algorithm
k-means
- 简单的k-means算法 简单的实现简单数据的分类。-Simple k-means algorithm is simple to achieve the classification of simple data.
K-means
- 模式识别中聚类分析经典算法,K-均值算法,C语言编写,可以读入文件,处理任意维数和任意个数的特征向量,附有测试数据。-The classic pattern recognition, cluster analysis algorithm, the K-means algorithm, written in C language, can read the file, handle any number of dimensions and any number of feature vectors
k-means
- 对于模式识别分类,利用K均值聚类,对原始数据进行分类。比较易于收敛,十分好用-For pattern recognition classification using the K-means clustering, and classification of the original data. Relatively easy to convergence, very easy to use
K-MEANS
- k均值聚类是最著名的划分聚类算法,由于简洁和效率使得他成为所有聚类算法中最广泛使用的。给定一个数据点集合和需要的聚类数目k,k由用户指定,k均值算法根据某个距离函数反复把数据分入k个聚类中。-k-means clustering is one of the most famous partition clustering algorithm, due to the simplicity and efficiency so that he became the most widely used i
K-means-clustering
- 关于K-means聚类的算法描述,原创,包含有大量训练和测试数据-About K-means clustering algorithm descr iption, originality, contains a large number of training and test data
K-means
- 聚类算法 K-means 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 该代码针对图像的分类-Some distance K-means clustering algorithm to the data points as a prototype optimization objective function, using the function for extreme methods to adjust the rules to get the cod
k-means
- 实现k-means聚类算法,里面有数据可以作为测试(This file is use to achieve k-means clustering algorithm.There are data can be used as a test.)
k-means聚类算法
- k-means聚类算法的代码实现,只需要更改数据就可以实现,而且有注释,很容易懂(The code implementation of the k-means clustering algorithm can be realized only by changing the data, and there are notes that make it easy to understand)
k-means
- 对样本数据进行聚类,使得聚类精确率足够的高,就可以达到聚类效果了(Clustering the sample data, and the clustering precision is high enough to achieve the clustering effect.)
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)