利用 MATLAB计算欧氏距离 ◆啼总☆,@ pdist x+ 田四日回 14 o distr函数 啼·@!「 Search Results x A MATLAB RE1b 命令行窗口 e(pdist >>x=gdsdat a Data(3: 5, 1: 2) 入字段的除山排序 b my 2011 enrichProject programme 9.01758.1387 了变量· gdata ⊙x工作区 i gdsdata x 6.27956.0713 命令行窗口 国 gdata 2.46612.4559 >>D= pdist(x, euclidean) 3.43088.67275.2548 High-Throughput Sequencing 4 >>D= pdist(x', euclidean) eaching'bioinformatics-HGIN\4-17\GDS4882 soft) Sensitivity Analysis Microarray Data Analysis 2 TASET 0.9032 Machine Learning xI celll 按类型优化 675x1ce11} Identifier: (54675x1 celll fx函兹 Data: [54675x26 double
利用ＭＡＴＬＡＢ计算欧氏距离 pdist函数
利用 MATLAB计算标化欧氏距离 dist函数 ●D= pdist(x, distance) 命令行窗 Description >>D= pdist(x, euclidean) f euclidean t Euclidean distance(default) i euclidean Standardized Euclidean distance. Each coordinate diference between rows in x is scaled by dividing by the corresponding element of the standard deviation 1.09962.80501.7097 S=nanstd (X) To specify another value for s, use -pdist (X,'seuclidean, s) >>d=pdist(x', seuclidean') cityblock' City block metric. Minkowski Minkowski distance. The default exponent is 2. To specify a different exponent, use D= pdist(x,'minkowski', P), where p is a scalar positive value of the exponent 2.4495 ' chebychev Chebychev distance(maximum coordinate difference). a⊥anD1s mahalanobis distance, using the sample covariance of x as computed by 命令行窗囗 nancov. To compute the distance with a different covariance, use D >>D= pdist(x, euclidean) pdist(,'mahalanobis, C), where the matrix C is symmetric and positive sine t One minus the cosine of the included angle between points(treated as vectors) 3.43088.67275.2548 One minus the sample correlation between points( treated as sequences of values >>D= pdist(x', euclidean One minus the sample Spearman s rank correlation between observations (treated as sequences of values) 0.9032
利用ＭＡＴＬＡＢ计算标化欧氏距离 pdist函数 D = pdist(X) D = pdist(X,distance)
2曼哈顿距离( MANHATTAN DISTANCE) o两个n维向量x=(,x2,…x)和y=(y,y y 间的曼哈顿距离的定义:4=-+1一*灬+-=∑x一 曼哈顿距离又称城市街区( city-block)距离。 在曼哈顿要从一个十字路口开车到另外一个 十字路口。 驾驶距离是两点间的直线距离吗? 显然不是,除非你能穿越大楼。 实际驾驶距离就是这个“曼哈顿距离
2.曼哈顿距离（MANHATTAN DISTANCE） 两个n维向量 和 间的曼哈顿距离的定义： 曼哈顿距离又称城市街区（city-block）距离。 18 在曼哈顿要从一个十字路口开车到另外一个 十字路口。 显然不是，除非你能穿越大楼。 驾驶距离是两点间的直线距离吗？ 实际驾驶距离就是这个“曼哈顿距离
利用 MATLAB计算曼哈顿距离 o pdist函数 Metric l euclidean t Euclidean distance(default). 命令行窗囗 i euclidean Standardized Euclidean distance. Each coordinate difference between rows in x >>D= pdist(, cityblock) is scaled by dividing by the corresponding element of the standard deviation S=nanstd(X), To specify another value for s, use D D=pdist (X,'seuclidean, s) cityblock' City block metric. 4.805412.23427.4288 I minkowski t Minkowski distance. The default exponent is 2. To specify a different exponent, >>D= pdist(x',cityblock) use D= pdist(X, 'minkowski, P), where P is a scalar positive value of the exponent D chebychev Chebychev distance (maximum coordinate difference ). Immahalanobis' Mahalanobis distance, using the sample covariance of x as computed by 1.0972 nancov. To compute the distance with a different covariance, use D pdist(X, 'mahalanobis', C), where the matrix c is symmetric and positiv 压》 cosine t One minus the cosine of the included angle between points(treated as vectors i correlation One minus the sample correlation between points (treated as sequences of values) spearman' One minus the sample Spearmans rank correlation between observations (treated as sequences of values)
利用ＭＡＴＬＡＢ计算曼哈顿距离 pdist函数
3切比雪夫距离( CHEBYCHEV DISTANCE) o两个n维向量x=(x,x,…,x)和y=(y,y y 可的切比雪夫距离定义为:dn(xy)=maxr-y (1,5 5432 国王走一步能够移动到相邻的8个方格中的 任意一个。 (1,4) 那么国王从格子(2,4走到格子(4,1)最少需要 (1,3) 多少步? (1,2) 从(2,3)到(5,5)走几步? (1,1)(2,1)(3,1) (5,1) 20 2345最少步数总是max(|x2x1|,|y2y1|)步
3.切比雪夫距离（CHEBYCHEV DISTANCE） 两个n维向量 和 间的切比雪夫距离定义为： 20 （1,5） （1,4） （1,3） （1,2） （1,1） （2,1） （3,1） （4,1） （5,1） 1 2 3 4 5 国王走一步能够移动到相邻的8个方格中的 任意一个。 5 4 3 2 1 最少步数总是max( | x2-x1 | , | y2-y1 | ) 步。 那么国王从格子(2,4)走到格子(4,1)最少需要 多少步？ 从（2,3）到（5,5）走几步？