搜索资源列表
NormalDistribution
- Intention based scoring (IBS) is a scoring system, its goal is to provide a score that more accurately assesses a student’s ability to solve a composition problem, and therefore assess direct effects of the student s programming ability. This process
kMeansProjectiveClustering
- K-mean clustering. hope you enjoy
km
- K-mean Clustering Applet shown how k-means clustering work
Ksam
- 新颖的K均值聚类算法，以SAM作为两个向量的距离度量，取代原始的向量间的距离-Multi-spectral K-mean clustering with SAM as spectral similarty
k_means_cluster
- k均值聚类算法 ，c语言实现 了基于均值的聚类分析，同时增加了多维向量分析功能，使得聚类的收敛速度更快。-k means clustering algorithm, c language implemented based on the mean cluster analysis, while increasing the multi-dimensional vector analysis functions, making the convergence faster clustering.
k-mean-draw
- 根据聚类结果，对已经聚类好的数据进行处理，并利用svg画出各部分的趋势图。-According to the clustering results, clustering of good data has been processed, and used to draw the various parts of the svg trends.
clust
- k mean clustering code
Combining-face-detection-and-people-tracking-in-v
- Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
k_means_JIT
- k-mean聚类算法的MATLAB源代码程序-k-mean clustering algorithm Source code realization in MATLAB
K_means-image-segmentation
- 将彩色图像从RGB转化到lab彩色空间，进行K-mean聚类将图像分割-The color image in RGB color space conversion to lab space , K-mean clustering image segmentation
graph4.c.tar
- k mean clustering to cluster a hard of test
kmeans1
- kmeans ieee paper , A system for analyzing student’s results based on cluster analysis and uses standard statistical algorithms to arrange their scores data according to the level of their performance is described. K-mean clustering algorithm for a
haha
- 基于Lab空间向量的图像分割方法，采用k-mean聚类。-Based on the Lab space vector image segmentation method, the use of k-mean clustering.
DM_YeDan
- KNN(K最近邻)分类算法以及K-means(K均值)聚类算法是应用广泛的两种算法。本代码是在VS2010环境下，用 C++语言在基于KNN及K-means算法下，实现了对Iris数据集的分类与聚类。-KNN (K nearest neighbor) classification algorithm, as well as K-means (K mean) clustering algorithm is widely used two algorithms. The code VS2010 en
K_mean_clustering
- this code is about k mean clustering in Matlab
New-folder
- Brain Tumor Segmentation Calculation in Brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm
Kmean1
- 用于遥感图像分类。其输入为几幅遥感图像，使用k-mean聚类方法对图像中的不同地形进行聚类分割--For remote sensing image classification. Their input for a number of remote sensing images, the use of k-mean clustering method to image the topography of the different cluster partition
clustersuvey
- 讲解了分层次聚类法、最简单聚类法、最大距离样本、K平均聚类法、叠代自组织聚类法、ISODATA法的改进等-Explain the hierarchical clustering method, the simplest clustering method, the maximum distance the sample, K mean clustering method, self-organizing clustering iterative method, ISODATA method of
important2
- 基于聚类的径向基神经网络的设计算法，采用的是K均值聚类。实现函数拟合！-The design algorithm of radial basis function neural network based on clustering, using the K mean clustering. Realize the function fitting!
kmeansClusters
- Image segmentation k mean clustering