搜索资源列表
k-means
- kmeans的程序，用欧式距离对80个对象进行分类-a kind of procedure ralated to the algorithm of Kmeans
KNN-ALG
- 基于欧式距离的最邻近改进算法，该算法在提高SIFT算法的特征点匹配效率-Euclidean distance based on the nearest improved algorithm SIFT algorithm to improve the efficiency of matching feature points
k-means
- 次算法基于欧式距离，用于数据挖掘k均值聚类算法,或者用于数据挖掘作业-for dating ,kmeans
zuoye
- 模式识别作业，贝叶斯分类，欧式距离马氏距离-Pattern recognition operation, the Bayesian classifier, the Euclidean distance, Mahalanobis distance
retrieval
- 图像检索，基于颜色直方图的计算，通过欧式距离的计算方法，实现图像检索- image retrieval，image searching，Wavelet Domain Image Indexing Using Directional Gradient Angular Histogram
RandotCls
- 程序按照随即生成若干个点作为点坐标 ，根据欧式距离 进行聚类分析 ，图像处理对象是灰度值，这里是用随即生成的点做例子 展示，这个程序有界面！-Procedures in accordance with the randomly generated a number of points as the point coordinates, cluster analysis based on Euclidean distance, the image processing is the gray va
tidu
- 利用索贝尔算子两种模板提取图像梯度，幅度选取分别利用欧式距离、城区距离和棋盘距离。-Using two templates of Sobel operator to extract the gradient of a image. Magnitude was selected by using Euclidean distance, city distance and chessboard distance.
Image-retrieval
- 采用小波变换，利用小波系数，作为图像纹理特征的检索。并采用欧式距离，将最相似的图像，按序排列下来-The wavelet transform using the wavelet coefficients as the retrieval of image texture features. And Euclidean distance, the most similar images in descending order down
face_recog
- 基于gabor特征提取与欧式距离分类的人脸识别-Based on the gabor feature extraction and face recognition of the Euclidean distance.
duplex
- 用于建模数据分集。计算各样本点的欧式距离，首先将距离最大的两个点放入第一个样本集，接着将余下距离最大的两个点放入第二个样本集，依次计算，将剩余数据点分别放入上述两个样本集。- This algorithm starts by selecting the two points furthest from each other (euclidean distance) and puts them both in a first set. Then the next two points furthe
Kmeans
- 划分聚类中的K-means算法，运用的欧式距离作为度量距离-The instance of K-means clustering algorithm
MaxCluster
- 基于matlab环境下的最大最小距离聚类的程序。距离度量为欧式距离。-Based on the maximum and minimum distance clustering in Matlab environment program. The distance measure is the Euclidean distance.
Desktop
- 欧式距离PAM聚类算法，利用欧式度量聚类真实数据集和实际数据集用于对各类数据分类-Euclidean distance the PAM clustering algorithms using the European metric clustering real data sets and real data sets for the various types of data classification
CharRec
- 字符识别的源码，可识别数字和英文。包括图像处理和模式识别的内容。图像处理包含转灰度图、二值化、滤波、细化、分割、规格化等。模识别部分包含欧式距离的模板匹配和BP神经网络。-Character recognition source code, can recognize numbers and English. Including image processing and pattern recognition. Contains to grayscale image processing, bi
kmeans
- 利用k-means算法进行聚类，K-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最有分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。-Algorithm using k-means clustering, K-means algorithm Euclidean distance as a similarity measure, it is the pursuit of the vector V corresponding to a initial
Matlab-digital-based-recognition-
- 这6个程序可用于0—9的数字识别，算法包括：基于类中心的欧式距离法、马氏距离法、夹角余弦距离法 、二值化的夹角余弦距离法、二值化的Tanimoto测度法和增量校正算法，均为基于matlab软件编写的程序。学会了这几个算法，可以在这些程序的基础上进行扩展，对三维模型识别算法的编程有一定的帮助。-6 program can be used 0-9 digit recognition, algorithms include: class center Euclidean distance, Mah
bayes
- 简单贝叶斯分类器，分别采用欧式距离和马氏距离实现三类分类-Simple Bayesian classifier
face-recognition
- 人脸识别，特征分割，特征点定位，欧式距离，模式匹配-face recognition，feature capture，feature match
colorseg2
- 对彩色图像进行分层，并且使用欧式距离和马氏距离作为辅助计算，效果很好。-Stratified, the color image and use the Euclidean distance and Mahalanobis distance as an auxiliary, the effect is very good.
colorseg
- 此函数主要用欧式距离法和maha法实现图像分割。简单实用。-Image segmentation