搜索资源列表
K-均值聚类算法
- K-均值聚类算法,对数据进行聚类分析,可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
基于matlab的K均值聚类程序
- 基于matlab的K均值聚类程序。其中用IRIS数据进行验证,得到了很好的结果。文件中包含了演示后的结果图,Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan
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-rbf
- 程序是基于K均值聚类的RBF代码,很好的一个例子。-K means clustering procedure is based on the RBF code, a good example.
k-meams(sourcecode)
- C#实现k均值文本聚类算法,文本聚类C#源程序,k-means聚类算法-C# to achieve k means clustering algorithm, document clustering C# source code, k-means clustering algorithm
K-Mean
- 遥感影像K均值分类算法,针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
K-means图像识别
- 利用K-means对图像进行聚类,识别。您可以设置参数达到更好的识别效果(Using K-means to cluster and identify images.You can set parameters to achieve better recognition results)
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)
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程序
- 介绍了k-means 均值聚类,能很好的将离散的点,聚类成几个指定的聚合点。(The K-means mean clustering is introduced, and the discrete points can be well clustered into several designated aggregation points.)
K-means
- K-means算法是硬聚类算法,是典型的基于原型的目标函数聚类方法的代表,它是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。K-means算法以欧式距离作为相似度测度,它是求对应某一初始聚类中心向量V最优分类,使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The K-means algorithm is a hard clustering algorithm, which is representative of the prototy
K-means
- K-means聚类算法的matlab实现(k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each obse
k-means.py
- 通过python实现了k-means分类。(The python implementation of the K-means classification.)
1、K-means学习
- 用k-meas算法对图片聚类,根据图像的颜色,聚类成若干类(Using k-means algorithom to clustering a picture)
K-means
- k-means算法主程序,已经经过测试,具体参数需要自己调整(K-means algorithm for matlab)
k-means聚类算法
- K-MEANS聚类算法实现,方法简单,容易实现(K-MEANS clustering algorithm, simple and easy to implement.)
k means
- k means 聚类算法,适用于供应链,物流,选址等配送中心或需求点的筛选聚类(It applies for the field of supply chain, logistics, hub location to cluster the Dcs or demand points.)
K-means聚类
- 应用K-means聚类算法,实现对iris数据集的分类(Using K-means clustering algorithm to realize the Classification of iris dataset)
k-means
- k-means实战,包括一个具体的例子。非常适合初级学习k-means聚类算法的人群(K-means actual combat, including a specific example)
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)