搜索资源列表
KAV
- KAV是利用Visual C++ 6.0编写的一个小程序，能实现对特定数据结果的文本数据进行聚类分析，所使用的聚类方法是K均值。 -KAV is the use of Visual C++ 6.0 to prepare a small procedure to achieve the outcome of specific data on the text data clustering analysis, the use of the K-means clustering method.
1
- 这是针对一维K-means算法的实现，如果想针对多维的k-means算法流程一样，你只要设计一个多维数据点的数据结构就可以了-This is one-dimensional K-means algorithm, if you want for multi-dimensional k-means algorithm of the same process, you need to do is to design a multi-dimensional data points of the data
KMEANS
- 利用数据挖掘知识和c实现K-均值聚类分析-The use of data mining knowledge and c to achieve K-means clustering analysis
KMEANS
- K-Means动态聚类算法源程序 在数据挖掘中的应用-K-Means dynamic algorithm source data mining application
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
TriTrain
- 利用KDD1999数据集进行K-means算法的实现-Mathimatics-Numerical algorithms
dataset
- matlab 代码 k-means 算法 实现2－D数据的聚类-matlab code for k-means algorithm is 2-D data clustering
k_means
- k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-In statistics and machine learning, k-means clustering is a method of cluster analysis which aims to partition n observations into
KmeansVC
- 用MFC倾力打造的K均值算法，附有数据集，该数据集4177行记录，8维属性的元组 界面友好，功能基本实现。-Using MFC gourmet k-means algorithm, with the data collection, data collection, 8 dimension record 4177 did the tuple. Attributes Friendly interface, basic function.
K_means_c_plus_plus
- 本程序是数据挖掘领域知名的K均值Visual C++源代码-C++ sourse codes of K-Means using Data Ming
kmeans
- 数据挖掘里面的经典的聚类算法 K-means-K-means
famousz-misc
- k-means及Isodata 聚类算法的实现，用c++代码实现，输入数据为Iris，输出分类类结果。 包含Iris数据及所有头文件和.cpp文件。-Isodata k-means clustering algorithm and implementation, using c++ code implement,. the input data is the Iris, the output classification class results. contains Iris d
KMEANS
- 基于K-Means动态聚类算法，应用于数据挖掘-Based on Dynamic K-Means clustering algorithm, used in data mining
kmeans-in-statistics
- 这是K-means聚类算法的源代码，可实现任意多统计数据的归类处理。代码为原创，用途主要在数理统计方面，而不是常见的图像处理等方面。内附详细的使用说明。-This is the K-means clustering algorithm source code, enabling the classification of any number of statistical data processing. Code for my original, uses mainly in mathemat
K_Means
- K均值算法，实现一种动态聚类法--迭代自组织数据分析算法，这是一种较为简单的K均值算法-K means algorithm, to achieve a dynamic clustering method- iterative self organizing data analysis algorithm, which is a relatively simple K-means algorithm
Clustering
- 对数值型数据进行聚类：实现了K-means和FCM算法-K-means,fuzzy c means
kmeans
- k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。基于c++和opencv-This program gets an image and the desidered number of partitions and finds the means of the different classes and pro
kmeans
- 使用K－均值聚类算法在IRIS数据上进行聚类分析.-K-means clustering algorithm using IRIS data in the cluster analysis.
KMeans_Cluster_test
- K-Means 聚类算法，C#版，不适合大量数据，适合初学者-K-Means clustering algorithm, C# version, not suitable for large amounts of data, suitable for beginners
k_means-matlab
- matlab语言实现的k-means算法，用于对数据对象进行分类。-matlab language of the k-means algorithm to classify the data objects.