Description: 对模式识别中的字符串模板匹配问题进行的研究，设计了对任意字符串进行匹配和字符串相似度，即列文斯顿距离进行计算的算法-right pattern recognition template matching string for the research and design of the arbitrary strings and string matching similarity, Ken Livingstone distance calculation algorithm Platform: |
Size: 2734 |
Author:蓝色梦幻 |
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Description: 对模式识别中的字符串模板匹配问题进行的研究，设计了对任意字符串进行匹配和字符串相似度，即列文斯顿距离进行计算的算法-right pattern recognition template matching string for the research and design of the arbitrary strings and string matching similarity, Ken Livingstone distance calculation algorithm Platform: |
Size: 2048 |
Author:蓝色梦幻 |
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Description: 实现编辑距离的计算，即字符串的匹配，支持汉字。-Realize the calculation of edit distance, that is, string matching, support for Chinese characters. Platform: |
Size: 2048 |
Author:Majesty Liu |
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Description: 用动态规划算法思想求最小编辑距离，即近似字符串匹配问题-Thinking of using dynamic programming algorithm for the minimum edit distance, that is, approximate string matching problem Platform: |
Size: 1024 |
Author:Doreen |
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Description: 求字符串编辑距离 动态规划 设给定样本 ，样本P在文本T中的K-近似匹配（K-approximate match）是指P在T中包含最多K个差异的匹配，求K-For the string edit distance to the set of dynamic programming based sample, the sample P in the text T in the K-approximate match (K-approximate match) refers to P in T contains up to a difference in the match K, and K Platform: |
Size: 7168 |
Author:郭涛 |
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Description: 设A 和B 是2 个字符串。要用最少的字符操作将字符串A 转换为字符串B。这里所说的字符操作包括
(1)删除一个字符；
(2)插入一个字符；
(3)将一个字符改为另一个字符。
将字符串A变换为字符串B 所用的最少字符操作数称为字符串A到B 的编辑距离，记为d(A,B)。试设计一个有效算法，对任给的2 个字符串A和B，计算出它们的编辑距离d(A,B)。-For A and B are two strings. Operation to use at least the characters will be converted to string A string B. Operation of the characters mentioned here, including (1) delete a character (2) insert a character (3) will be replaced by one character to another character. Will transform the string A string B for at least the characters used in string operands as the editor of A to B distance is recorded as d (A, B). Test the design of an efficient algorithm, for any given two strings A and B, to calculate their edit distance d (A, B). Platform: |
Size: 884736 |
Author:王 |
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Description: 设A和B是两个字符串,要用最少的字符操作将A转换成B.允许的操作包括:1)删除一个字符 2)插入一个字符 3)将一个字符替换为另一个字符.将A转换成B所用的最少的字符操作数称为编辑距离。
设计算法，对任给的字符串A,B,计算他们的编辑距离。
输入：第一行字符串A；第二行字符串B
输出：第一行编辑距离-For A and B are two strings of characters to use at least A conversion operation will be allowed to operate as B., including: 1) delete a character 2) insert a character 3) the replacement of one character to another character. A into B will be used in operation for at least a few of the characters known as the edit distance. Design algorithm, for any string to the A, B, computing their edit distance. Input: the first line of string A the second line of the output string B: the first line of edit distance Platform: |
Size: 1024 |
Author:cj |
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Description: 最大公共子串和字符编辑距离算法的类实现。
函数第一个参数是用来比较的字符串，
第二个参数是被比较的字符串。
lCommonStr第三个参数是前两个字符串的公共子串。-The largest common sub-string and the character edit distance algorithm to achieve the category. Function of the first parameter is used to compare the string, the second parameter is the string to be compared. lCommonStr third parameter is the string the first two public substring. Platform: |
Size: 2048 |
Author:尤凤凯 |
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Description: 设A和B是2个字符串。要用最少的字符操作将字符串A转换为字符串B。这里所说的字符操作包括：
1. 删除一个字符
2. 插入一个字符
3. 将一个字符改为另一个字符
将字符串A变换为字符串B所用的最少操作数称为A到B的编辑距离，极为d(A,B)。设计一个算法，计算任意两个字符串的编辑距离。
-Set A and B are two strings. Operation will use the least character string A is converted to a string B. Operation of characters are talking about here include: 1. Delete a character 2. Insert a character 3. Will be replaced by one character to another character will be transformed into a string A string of at least B operand used by A to B is called the edit distance is extremely d (A, B). Design an algorithm to calculate any two of the string edit distance. Platform: |
Size: 1024 |
Author:李代 |
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Description: 计算机算法设计与分析（王晓东）：动态规划实现取数游戏，数字三角形，字符串编辑距离，最大子串和-Design and analysis of computer algorithms (Wang Xiaodong): Dynamic Programming to take a few games, digital triangle, string edit distance, the largest sub-string and Platform: |
Size: 3072 |
Author:joe |
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Description: 编辑距离就是用来计算从原串（s）转换到目标串(t)所需要的最少的插入，删除和替换的数目。-Edit distance is used to calculate the converted from the original string (s) to the target string (t) is the minimum needed to insert, delete, and the number of substitutions. Platform: |
Size: 6144 |
Author:yi |
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Description: 编辑距离算法的python源码,编辑距离，又称Levenshtein距离（也叫做Edit Distance），是指两个字串之间由一个转成另一个所需的最少编辑操作次数。许可的编辑操作包括将一个字符替换成另一个字符，插入一个字符，删除一个字符。-Levenshtein Distance Algorithm s python version
The Levenshtein distance between two strings is defined as the minimum number of edits needed to transform one string into the other, with the allowable edit operations being insertion, deletion, or substitution of a single character Platform: |
Size: 1024 |
Author:大林 |
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Description: 阿里巴巴面试题个人题解。
对于一个数字串，需要通过一定的操作变成另一个数字串，问最小操作次数。
总共有3钟操作：
1.某位数字加一
2.某位数字减一
3.调换任意两位数字(The Alibaba interview questions personal problem.
For a digit string, we need to turn another operation into another string and ask the minimum number of operations.
A total of 3 clock operations:
1. one digit plus one
2. one digit reduction
3. change any two digit number) Platform: |
Size: 1024 |
Author:windlbl |
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Search - edit distance string