两个整数之间的汉明距离指的是这两个数字对应二进制位不同的位置的数目. 给出两个整数 x 和 y,计算它们之间的汉明距离. 注意: 0 ≤ x, y < 231. 示例: 输入: x = 1, y = 4 输出: 2 解释: 1 (0 0 0 1) 4 (0 1 0 0) ↑ ↑ 上面的箭头指出了对应二进制位不同的位置. class Solution { public: int hammingDistance(int x, int y) { int cnt = 0; int temp = x ^…

The Hamming distance between two integers is the number of positions at which the corresponding bits are different. Given two integers x and y, calculate the Hamming distance. Note:0 ≤ x, y < 231. Example: Input: x = 1, y = 4 Output: 2 Explanation: 1…

The Hamming distance between two integers is the number of positions at which the corresponding bits are different. Given two integers x and y, calculate the Hamming distance. Note:0 ≤ x, y < 231. Example: Input: x = 1, y = 4 Output: 2 Explanation: 1…

两个整数的 汉明距离 指的是这两个数字的二进制数对应位不同的数量.计算一个数组中,任意两个数之间汉明距离的总和.示例:输入: 4, 14, 2输出: 6解释: 在二进制表示中,4表示为0100,14表示为1110,2表示为0010.(这样表示是为了体现后四位之间关系)所以答案为:HammingDistance(4, 14) + HammingDistance(4, 2) + HammingDistance(14, 2) = 2 + 2 + 2 = 6.注意:    数组中元素的范围为从 0到 1…

The Hamming distance between two integers is the number of positions at which the corresponding bits are different. Given two integers x and y, calculate the Hamming distance. Note:0 ≤ x, y < 231. Input: x = 1, y = 4 Output: 2 Explanation: 1 (0 0 0 1…

Basis(基础): SSE(Sum of Squared Error, 平方误差和) SAE(Sum of Absolute Error, 绝对误差和) SRE(Sum of Relative Error, 相对误差和) MSE(Mean Squared Error, 均方误差) RMSE(Root Mean Squared Error, 均方根误差) RRSE(Root Relative Squared Error, 相对平方根误差) MAE(Mean Absolute Error, 平均绝…

转自: [基础]常用的机器学习&数据挖掘知识点 Basis(基础): MSE(Mean Square Error 均方误差),LMS(LeastMean Square 最小均方),LSM(Least Square Methods 最小二乘法),MLE(MaximumLikelihood Estimation最大似然估计),QP(Quadratic Programming 二次规划), CP(Conditional Probability条件概率),JP(Joint Probability 联合概…

Basis(基础): MSE(Mean Square Error 均方误差),LMS(LeastMean Square 最小均方),LSM(Least Square Methods 最小二乘法),MLE(MaximumLikelihood Estimation最大似然估计),QP(Quadratic Programming 二次规划), CP(Conditional Probability条件概率),JP(Joint Probability 联合概率),MP(Marginal Probabili…

http://blog.csdn.net/pipisorry/article/details/48882167 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记之局部敏感哈希LSH的距离度量方法 Distance Measures距离度量方法 {There are many other notions of similarity(beyond jaccard similarity) or distance and whi…

Basis(基础): MSE(Mean Square Error 均方误差), LMS(LeastMean Square 最小均方), LSM(Least Square Methods 最小二乘法), MLE(MaximumLikelihood Estimation最大似然估计), QP(Quadratic Programming 二次规划), CP(Conditional Probability条件概率), JP(Joint Probability 联合概率), MP(Marginal Pro…