搜索资源列表
k-means
- Coursera machine learning ex7 assignment，K-means(Coursera machine learning ex7 assignment)
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
- k-means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 c++实现代码(C++ implementation code of k-means)
K-means
- 在里面的的是一些关于k-means的东西，用的mnist数据(I try the Mnits data and use K-means to doing the clustering)
FuzzyC-Means
- Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters
k-means-matlab
- 利用k-means算法实现二维平面点的聚类，包括了运行源代码和结果图(The k-means algorithm is used to realize the clustering of two-dimensional plane points, including the running source code and the result graph)
K-means聚类
- K-means聚类程序，可用于聚类问题，自动产生大量数据，生成聚类图片(K-means clustering program, can be used for clustering problems, automatically generate large amounts of data, generate clustering images)
K-means
- K-means的简单实现，期中例子是实现了几组，程序简单，缺陷比较明显(Simple implementation of K-means)
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&DBSCAN
- python实现K-means聚类算法和DBSCAN算法，都是最简单的聚类(Python implements k-means clustering algorithm and DBSCAN algorithm, which are the simplest clustering)
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)
X-means
- 对K-means聚类算法的改进X-means算法。针对K值如何设定的问题，利用BIC准则判断聚类点数量。同时附有两个初始聚类点的选择程序，自己选吧。(The improved X-means algorithm for K-means clustering algorithm. In view of the problem of how to set the K value, the number of clustering point
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
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-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)