搜索资源列表
machine-learning-3
- 机器学习算法之EM与K-MEANS，经典的机器学习的外文资料，该资料描述详细，便于大家的学习。-The EM machine learning algorithms with K-MEANS, classical machine learning foreign language information, the information described in detail, easy to learn from everyone.
image-segmentation
- 图像分解算法，四种方法可选，包括threshold, K means threshold, region growing以及gradient based segmentation-Image decomposition algorithm, four methods available, including the threshold, K means threshold, region growing and gradient based segmentation
k_means
- k均值聚类算法，使各个样本与所在类均值的误差平方和达到最小，并且附有显示程序-k-means clustering algorithm, where the class so that each sample and the mean squared error to a minimum, and with the display program
K_mean_julei
- 这是一个用k均值聚类的matlab 程序 程序对高维数据利用k均值进行了聚类-This is a k-means clustering matlab program procedures for high-dimensional data for the use of k-means clustering
src
- k-means 算法接受参数 k ；然后将事先输入的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。-k-means algorithm accepts parameters k n and the previously input data is divided into k-clustering objects in order to make
kmeans
- k-means for iress data
kmeans
- K means code for k means algorithm
kmeans
- image classification algorithm : k-means clustering implementation is provided herewith, which is an unsupervised clustering method
kmeans1
- K-means算法，算法步骤如下： Step1.利用式(2)计算距离矩阵D=()，其中=dist[i, j] ()； Step2.扫描坐标距离矩阵D，寻找距离的最大值和最小值，用式(3)计算limit； Step3.扫描坐标距离矩阵D，寻找矩阵中距离最小的2个数据a，b，将数据a，b加入集合，={a,b}，同时将数据a，b从U中删除，更新距离矩阵D； Step4.利用 (4)式在U中寻找距离集合最近的数据样本t，如果小于limit，则将t加入集合，同时将t从集合U中删除，更新
Kmeans
- K-means聚类的matlab代码，供相关人士学习时参考-a K-means matlab source code
Em
- 使用k均值算法计算聚类的重心，并用EM算法计算各聚类的参数-Using k-means clustering algorithm to calculate the center of gravity, and using EM algorithm to calculate the parameters of each cluster
kmean
- k-means algorithm算法是一个聚类算法的实现及详细说明-k-means algorithm
clustering-problem-
- 关于matlab解决聚类问题的相关程序，包含蚁群算法和K均值算法，可以一看，部分附带程序，非本人原创。-About matlab to solve clustering problem related procedures, including the ant colony algorithm and K-means algorithm, one can see, some incidental proceedings, not my original.
Kmeans
- K-MEANS 算法matlab版本 注释详尽-K-MEANS algorithm matlab detailed release notes
kfuzzy
- k均值聚类算法，可自定义输入聚类数，能仿真出结果-K-means clustering algorithm, and can be custom clustering number, input to the simulation results
k_meansalg
- this package provides the segmentation using k means algorithm
mykmeans
- Image Segmentation is vital role in nowadays. The K-means algorithm usually the initial centroids for the K-means clustering are determined randomly so that the determined centroids may reach the nearest local minima, not the global optimum.
FKM_HHT_0711
- 针对模糊K均值聚类算法进行改进，应用于HHT变换后的旋转机械故障特征识别。-For fuzzy K-means clustering algorithm is improved HHT transform applied to the rotating machinery fault feature recognition.
kmeans
- This code is calculating K-means in matlab programming.
kmanes2
- k means clustering algorithm new 2 cluster