搜索资源列表
K-means
- 针对一维数据集K-means算法的实现， 针对一维数据集K-means算法的实现， 针对一维数据集K-means算法的实现。-k-means
K-means_clustering_demo
- K-均值聚类算法 vc++图形演示程序-K-means clustering algorithm c++ demo program
K-means
- 简单实用的k均值聚类算法，可以实现多位向量的简单聚类-Simple and practical k-means clustering algorithm, can achieve more than a simple vector clustering
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
- 采用K- means 算法和FCM 算法实现对47 个城市竞争力的聚类分析-Using K-means algorithm and FCM algorithm to achieve the competitiveness of 47 cities in the cluster analysis
K-means
- k-means 算法的实现，提供数据，且能够顺畅运行-K-means,method,which is a famous method to cluster data. This package also give you the data to do experiment. It can run frequently
k-means
- k-means算法实现WEB搜索，用模拟退火，对K-means聚类算法进行数据挖掘-k-means algorithm WEB search
K-means
- kmeans算法代码，已经通过验证，可以正常使用，没有病毒
k-means
- k-means算法 ，应 用 于 数 据 挖 掘 中。-k-means algorithm is applied to data mining
K-means
- k-means 算法 step1 初始化K个质心 step2 将所有的点分配给最近的质心 step3 更新质心 step4 若质心都没用变化,则停止,否则返回step2 -k-means algorithm is initialized step1 step2 K a center of mass of all the points assigned to the nearest centroid centroid step3 step4 update no us
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
k-means-cl266639182001
- K-means算法的聚类分析 Visual basic版本-K-means Clustering
K-Means
- 传统K-means算法程序，希望对你有帮助，加油，朋友们-Traditional K-means algorithm, you want to help, and refueling friends
k-means
- 完成三维空间的k-means算法，其中的k是由执行人员自己设定的-Completion of the three-dimensional space of k-means algorithm, where k is the Executive set their own
K-means
- k-means算法K-MEANS算法是输入聚类个数k，以及包含 n个数据对象的数据库，输出满足方差最小标准的k个聚类-k-means data
k-means
- k-means 算法，由c语言实现简单的聚类操作。-k-means algorithm, the c language simple clustering operation.
K-means
- 用matlab实现k均值算法，不用库函数(Implementation of K mean algorithm)
K-means
- 使用k-means算法对图像进行分割，并利用遗传算法对k-means算法加以改进(The k-means algorithm is used for the segment of images, and the genetic algorithm is used to improve the k-means algorithm)
K---MEANS
- 随机生成1000个二维坐标点并用K-means算法计算聚类结果(1000 two-dimensional coordinate points are generated randomly and the clustering results are calculated by K-means algorithm)