搜索资源列表
unsupervisedClassification
- 非监督分类程序,MATLAB环境,采用K均值算法,通过初始聚类中心逐次迭代而得到所要分类,并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
K_average
- matlab实现的k均值聚类算法,可以实现对大量数据的有效分类-matlab implementation of the k-means clustering algorithm, can achieve a large amount of data on an effective classification
K-means.m
- K-mean均值算法的matlab功能实现-K-means to achieve the matlab function
k
- k平均聚类所谓k均值聚类方法是一种无监督的学习算法,它能用已知类数的数据聚类和预测。-k-average clustter
imgkmeans
- 将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color imag
kmean_zmx_try
- k-means Cluster,kmean_zmx_try.rar,k均值聚类算法的matlab源代码-k-means Cluster,kmean_zmx_try.rar
K-means
- kmeans算法代码,已经通过验证,可以正常使用,没有病毒
proj10-01
- 在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是:在训练样本中找到C个聚类中心,每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。-In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to
K-means
- 均值为K的聚类算法,是一种对聚类数据进行的最简单的算法,广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
Kmeans-MATLAB
- 该代码能够实现K均值聚类算法对彩色图像分割,在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
K-means-and-Perceptron
- 该程序为matlab程序,共有三个文件,dataC.m为程序入口,实现功能对50组数据用k均值算法进行分类,再对40组数据用感知器算法训练,然后用训练得到的判别函数对剩下10组数据分类,最后与原始分类做差比较,若分类无误,则全显示为0.-Matlab program on the program, a total of three files dataC.m for program entry features 50 sets of data with k-means algorithm to
k-means-algorithm-
- 在matlab开发环境下用k均值算法实现数据的分类,以及得到数据的聚类中心- realizingthe data classification With k-means algorithm
K-means
- K均值算法,适合于初学者。包括matlab源代码,测试数据等。-K-means algorithm
gmmkmeans
- 高斯混合模型K均值算法matlab源程序用于说话人识别中-Gaussian mixture model K-means algorithm matlab source code for speaker recognition
Kjunzhi
- 模式识别大作业K均值算法matlab平台实现,内有iris数据用于测试一起其他相关资料。-Pattern Recognition great job K-means algorithm matlab platform implemented within the iris data used for testing along with other relevant information.
MATLAB-KMEANS
- 基于matlab的k均值算法,程序比较简单,适合初学者学习-Matlab k-means algorithm, the procedure is relatively simple, suitable for beginners to learn
k-means-matlab
- k-means均值算法matlab语言写的,很实用的源码-k-means means algorithm matlab language, very useful source
k-mean
- 简单的K均值算法,使用matlab平台编程,两个文件一个是数据文件,一个是算法文件-Simple K-means algorithm, using matlab platform programming, one file is a data file, and the other is a algorithm file.
K
- 是基于MATLAB软件编的小程序。该程序是K均值算法,应用于模式识别中-K-mean algorithm
81801236k.matlab
- 利用matlab实现k均值聚类算法,亲自调试通过,对于学习k均值聚类算法有很大帮助(Using MATLAB to achieve K means clustering algorithm, personally debugging through, for learning K mean clustering algorithm is very helpful)