搜索资源列表
test_01_Kmeans
- K_means聚类分析，内含1个图片的3维数据聚类分析例子-K_means cluster analysis
K_means
- K均值聚类算法 属于模式识别的一种基本算法 在此没有与opencv关联-K-means clustering algorithm A basic pattern recognition algorithm is not associated with this opencv
kmeans-and-DBSCAN
- K_means and DBSCAN algorithm for clustering
K_means
- k均值算法源码.k均值是基于数据划分的无监督聚类算法，数据挖掘领域十大算法之一-k-means algorithm source code
k-means-2d-rand-point
- K_means经典聚类算法，用点阵可视化 通过产生随机点，不断更改中心点实现聚类-K Means classic clustering algorithm, with lattice visualization By generating random points, and constantly change the center point to achieve clustering
K_means
- Matlab双均线分钟K线策略例子,基于wind的数据获取从而进行交易的简单交易策略-Matlab double the average minute K-line tactics example, based on wind data acquisition so simple trading strategy to trade
k_means
- 这是数据挖掘中的k均值聚类算法，用java语言编写的，对于搞聚类的人士很有帮助-This is the data mining k-means clustering algorithm, using java language, for persons engaged in clustering helpful
k_means
- k均值聚类是最著名的划分聚类算法,代码简单，容易，运行速度快。-Average clustering is one of the most famous partitioning clustering algorithm, the code is simple, easy and fast
k_means
- 利用K-means聚类算法进行聚类运算，可将不同类别的数据进行分类-Clustering algorithm using K-means clustering algorithm, the data can be classified in different categories
K-means--C
- 运用k_means 聚类算法 对图像进行分类识别 c语言代码-Using k means clustering algorithm for image classification to identify c language code
k_means
- k均值聚类 是一种最基础的聚类方法，就是把看起来最集中，最不分散得到标签分配到输入训练样本中去，求局部最优解。-k-means clustering is one of the most basic clustering method is to look the most concentrated, most non-dispersible label assigned to obtain input to the training sample, find local optima.
Homework1
- matlab k_means人脸聚类算法-Matlab k_means face Clustering algorithm
K_means
- 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 cluster analysis
K_means
- MATLAB实现的k-means聚类算法，自带测试以及数据集，数据集分为二维和三维数据。-k-means clustering algorithm implemented in MATLAB, and has a test data set, the data set is divided into two and three dimensional data.
K_means
- K均值聚类算法是先随机选取K个对象作为初始的聚类中心。然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。一旦全部对象都被分配了，每个聚类的聚类中心会根据聚类中现有的对象被重新计算。这个过程将不断重复直到满足某个终止条件。-k-means algorithm
k_means2
- 实现单幅RGB图像的分类，输出灰度图，灰度直方图，聚类后的灰度图以及聚类后的灰度直方图。(To achieve a single RGB image classification, output grayscale, gray histogram, grayscale after clustering, and gray histogram after clustering.)
k_means
- 用kmeans算法处理资源3号卫星图像，用欧式距离来计算聚类中心，在用前后两次聚类之间的误差来决定迭代次数(Kmeans algorithm is used to deal with the resource 3 satellite image, and the Euclidean distance is used to calculate the clustering center. The number of iterations is determined by the error bet
K均值分类
- 基于VS2010平台和openCV开发的，实现遥感影像的k均值分类(K mean classification for remote sensing images)
遗传k-means
- 数据挖掘经典算法,遗传算法与K_means算法结合(Data mining classic algorithm)
K_Means
- 使用vc实现的kmeans算法，可是实现各种k值的分类(kmeans algorithm using VC implementation)