搜索资源列表
K-means
- k-means均值聚类分析代码可以实现二维文件的读入，以及文件的输出，还可以根据需要选择聚类中心数-k-means clustering analysis of two-dimensional code can read the file, and document output, but also can select the number of cluster centers
K-Means
- 这个目录包含了K - means算法的代码实现。源代码可以发现在KMEANS.CPP。样本数据isfound在KM2.DAT。 KMEANS程序接受输入向量的组成和计算使用K - means算法的集群中心。输出被定向到屏幕上。 -This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.D
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-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.
k-means
- c++实现k均值源码，实现了k-means的算法，并给出界面显示。实例中通过二维空间中的点进行聚类-c++ k-means algorithm, display the cluster result on the two demension
K-means-clustering-experiments
- k-means算法实现，数据挖掘中经常用到的聚类分析算法。是最经典的常用算法。-k-means algorithm, cluster analysis algorithm often used in data mining. Is the most classic of common algorithms.
cluster
- k means cluster for clustering analysis and code implementation
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
- 数据挖掘-聚类分析：k-平均(k-Means)算法实现（C++） -Data Mining- Cluster Analysis: k-average (k-Means) algorithm (C++)
K-means
- 修改参数可以实现任意样本总数，任意维数，任意聚类中心个数的K-Means Algorithm-The modify parameters can achieve any total number of samples, any dimension, any number of cluster centers K-Means Algorithm
K-means
- kmeans算法， K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果-kmeans algorithm, K-means algorithm is the most classic divide-based clustering method is one of the top ten classical data mi
k-means
- k—均值算法opencv代码实现。 k-Means 算法是一种 cluster analysis 的算法，其主要是来计算数据聚集的算法，主要通过不断地取离种子点最近均值的算法。
K-means
- 基于K-eans聚类算法的图像分割方法，对学习理解K-eans聚类能提供很大的帮助。-Image segmentation method based on K-eans clustering algorithm,which provides a great help in learning to understand the K-eans cluster.
K-means-algorithm-by-CPP
- K均值算法，聚类分析，C++实现，附代码以及示例程序-K-means algorithm, cluster analysis, C++ realize, with a code and sample programs
K
- k-means 聚类 有归一化和选择中心点函数-k-means cluster
color image segmentation
- Clustering is a way to separate groups of objects. K-means clustering treats each object as having a location in space. It finds partitions such that objects within each cluster are as close to each other as possible, and as far from objects in other
k-Means
- k-means算法的java实现，自动聚类算法。是基于距离来进行聚类-k-means algorithm to achieve the java automatic clustering algorithm. Based on the distance to the cluster
K-menas
- k-means聚类,用于聚类研究的基本算法，值得学习。-k-means cluster
k-means
- k-means聚类分析的程序压缩包，希望对大家有所帮助，包括源程序等- k-means Correlation Analysis Cluster Analysis on the preparation of the program matlabCluster Analysis on the preparation of the program matlab
k-means
- This k means algorithm for clustering. Each cluster contains a center point called centroid. the algorithm converges early. this is a commonly used clustering algorithm.-This is k means algorithm for clustering. Each cluster contains a center point c