搜索资源列表
K-means
- kmeans算法代码，已经通过验证，可以正常使用，没有病毒
brain_tumor_fcm
- In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to
knn
- k均值聚类+matlab 有详细的注释和图片-failed to translate
1
- 模式识别分层聚类、k—均值算法，支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt
kMeansCluster
- k均值分类 效率高 代码简单 利用最小均方误差准则编写-k-means efficient
k-means
- 用c程序和matlab分别试验一种k-means改进算法，按照方法选取聚类中心点，事实证明，这种改进是有效的。-Matlab with c procedures and were experimenting with an improved k-means algorithm, in accordance with the method of selecting cluster center, the facts show that this improvement is effective.
Kmeans-image-segmentation
- matlab图像分割实例，K均值用于图像分割，割调用库函数实现，带注释，简单易懂-matlab image segmentation examples, K means for image segmentation, cutting calls library functions, with comments, easy to understand
clustering
- 模糊聚类算法，K-means and K-medoid algorithms，Fuzzy C-means algorithm，The Gustafson{Kessel algorithm，The Gath{Geva algorithm-Fuzzy clustering algorithm, K-means and K-medoid algorithms, Fuzzy C-means algorithm, The Gustafson (Kessel algorithm, The Gath (Gev
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
gabork-means
- 该方法采用gabor提取纹理特征，最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
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.
kme
- k-means Clustring sub routine very useful Texture Image Segmentation
K-means-clustering-algorithm
- 用matlab实现K均值聚类算法，里面有详细的英文备注和举例，可以看明白-Achieved using K means clustering algorithm matlab
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
- K-Means聚类算法 Matlab代码，内有程序注释。-K-Means Matlab
k-means-and-knn_matlab
- 用matlab实现机器学习中的两个经典算法：k-means和knn。-Using matlab to achieve in two classic machine learning algorithms: k-means and knn.
k-means-algorithm-program
- 用于实现k-means聚类分析的matlab代码-Used to implement k-means clustering analysis matlab code
k-means
- K-means源码，用matlab实现，共有两个例子，简单易学-K-means source code, using matlab realize, there are two examples, easy to learn
k-means
- K means matlab code for image processing
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