搜索资源列表
K_means
- 模式识别中的聚类算法，读取文件，实现K均值的分类。-Pattern Recognition in the clustering algorithm to ensure that you can run the
k_means
- 使用k-means算法对样本空间中的未分类的点进行聚类。-K-means algorithm using the sample space clustering unclassified points.
kMeansCluster
- 基于matlaB工具的一种简单的关于K_means聚类的算法-A simple clustering algorithm on K_means
k_means-algorithm
- k-means算法是模式识别十大算法之一 matlab仿真的k-means聚类算法-k-means algorithm for pattern recognition algorithm is one of the top ten k-means clustering algorithm
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_means
- 采用matlab实现K_means聚类算法，可用于图像分类等-Using matlab realize K_means clustering algorithm, can be used for image classification
K_means
- K均值聚类算法，希望对大家有用 Kmeans cluster algorithm It is possible to perform -Kmeans cluster algorithm It is possible to perform
k_means
- 经典的k均值聚类算法，用于无监督学习和数据分类，广泛应用于数据处理和模式识别领域-Classical k-means clustering algorithm for unsupervised learning and data classification, widely used in data processing and pattern recognition
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
Homework1
- matlab k_means人脸聚类算法-Matlab k_means face Clustering algorithm
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_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_means
- k-means的实现，基本的计算方式，444(k means asdasdsfsafdsadfas)