搜索资源列表
K-means
- 基于K-eans聚类算法的图像分割方法，对学习理解K-eans聚类能提供很大的帮助。-Image segmentation method based on K-eans clustering algorithm,which provides a great help in learning to understand the K-eans cluster.
K-Means
- 数据挖掘中的K-均值聚类算法，java语言实现。 可直接编译运行-Data Mining K-means clustering algorithm, java language.
K-means-clustering
- 关于K-means聚类的算法描述，原创，包含有大量训练和测试数据-About K-means clustering algorithm descr iption, originality, contains a large number of training and test data
k-means
- 本代码主要实现了k均值聚类算法，通过c++在vc软件下实现聚类。-The code is mainly achieved k-means clustering algorithm, c++ in vc achieve clustering software.
k-means
- k-均值聚类算法（C语言实现）： 给定类的个数K，将N个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。-k-means clustering algorithm (C language): given the number of classes K, N objects will be assigned to the K class, making the class the biggest similarity between objects, and the s
RBF-k-means
- 自己编写的RBF聚类程序，采用K均值聚类算法，希望对大家游泳！-Based on RBF neural network program code K-means clustering！
K-means-clustering-algorithm
- K-均值聚类算法。可自由输入初始聚类中心的个数和其坐标。-K- means clustering algorithm. The number can be entered free initial cluster centers and their coordinates.
csk-means
- 这是一种我自己比较满意的K-means聚类算法，通过对原始的K-means进行改进而来。-This is a way I quite satisfied with K-means clustering algorithm, through the original K-means to improve from.
K-Means-Clustering-and-PCA
- 此代码为matlab代码，分为两个部分。第一部分实现K均值聚类算法应用它来压缩图像。在第二部分中，你将使用主成份分析法pca来实现人脸图像的低维表示。 -This code for the matlab code, is divided into two parts. The first part of the implementation of the K means clustering algorithm to compress the image. In the second par
k-means
- k均值聚类算法，模式识别大作业，适用于数据挖掘学习-k-means clustering algorithm, pattern recognition big job learning for data mining
k-means-by-LR
- 标准的数据挖掘聚类算法 k均值聚类 k-means聚类 严格按照标准算法执行 简单高效-Standard data mining clustering algorithm k-means clustering In strict accordance with the standard algorithm is simple and efficient execution
K-Means-master
- k均值聚类算法，自动产生一组数，并进行聚类，稍作修改可用于机器学习等方面使用-k-means clustering algorithm to automatically generate a set of numbers, and clustering, minor modifications can be used in other aspects of the use of machine learning
K-meansbased-on-image-segmentation
- 基于K-means聚类算法的图像分割 代码及实验测试结果-K-means clustering algorithm based on image segmentation code and some experimental results
python-cure-implementation-master
- Python实现的cure聚类算法和K-means算法(python-cure-Kmeans-implementation)
K-Means PCA降维
- K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the character
kmeans
- 基于k均值的无监督聚类算法，输出有各个样本的类别标签，目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据，点击 test.m 可以完美运行。(The unsupervised clustering algorithm based on K means outputs the class labels of each sample, the value of the target function after each iteration, the clustering center a
K均值对图像进行聚类分析
- 用k-means算法对图像进行聚类，适合于初学者(K-means algorithm for clustering images, suitable for beginners)
85375535Kmeans
- 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(K means clustering algorithm is first randomly selected K objects as the initial clustering center. Then calculate the distance between each object and each seed cluster center and
K聚类
- 聚类，这是一个用MATLAB编写的kmeans算法，主要用通常的聚类分析(Clustering, which is a MATLAB written in kmeans algorithm, mainly with the usual clustering analysis)
聚类k-means
- 一个非常简单的kmeans算法，主要用于聚类分析，用户仅需要输入聚类数(A very simple kmeans algorithm, mainly for clustering analysis, users only need to enter the number of clusters)