我正在尝试使用agrep找出两个字符串名称之间的模糊字符串匹配的最佳精度。
但是，由于字符串数量巨大，我将需要选择一种精度“ max.distance”以对要尝试匹配的所有字符串应用相同的精度。 对于我要匹配的每个字符串，都不可能选择最佳精度值“最大距离”。
例如，假设我对每个“ BANK OF AMERICA CORP”和“ 1st Capital Bank”使用精度“ max.distance”分别为“ 0.2”，“ 0.1”和“ 0.05”。
首先，以下是“ BANK OF AMERICA CORP”的“最大距离”为“ 0.2”，“ 0.1”和“ 0.05”的情况：
> agrep("BANK OF AMERICA CORP",C1999_0[,2],ignore.case = TRUE, value = TRUE,fixed = TRUE,max.distance =0.2)
[1] "BANK OF AMERICA/PRIVATE BANK WEST" "BANK OF AMERICA SECURITIES"
[3] "BANK OF AMERICA SEC LLC" "BANK OF AMERICA SECURITIES LLC"
[5] "BANK OF AMERICA NT & SA" "BANK OF AMERICA CORP"
[7] "ALLIANZ OF AMERICA CORP" "Bank of America Securities/Vice Pre"
[9] "Bank of America Securities/Investme" "Bank of America/President"
[11] "Bank of America Securities LLC/Prin" "Bank of America Securities LLC/Mana"
[13] "Bank of America Securities LLC/Inve" "Bank of America Securities/Principa"
[15] "Bank of America Securities LLC/Bank" "Bank of America Sec/Investment Bank"
[17] "Bank Of America Securities/Managing" "Bank of America/Chairman--Midwest A"
[19] "Bank of America Securities LLC/Vice" "Bank of America Corporation/Sales C"
[21] "Bank of America Securities/Broker" "Bank of America Corporation/Banker"
[23] "Bank of America Corporation/Senior" "Bank of America Securities/Equity R"
[25] "Bank of America Corporation/Vice Ch" "BANK OF AMERICA CORPORATION"
[27] "BANK OF AMERICA HEADQUARTERS" "BANK OF AMERICA ADMINISTRATION"
[29] "BANK OF AMERICA N A" "Bank of America/Commercial Banking"
[31] "Bank of America Sec./Investment Ban"
>
> agrep("BANK OF AMERICA CORP",C1999_0[,2],ignore.case = TRUE, value = TRUE,fixed = TRUE,max.distance =0.1)
[1] "BANK OF AMERICA CORP" "ALLIANZ OF AMERICA CORP"
[3] "Bank of America Corporation/Sales C" "Bank of America Corporation/Banker"
[5] "Bank of America Corporation/Senior" "Bank of America Corporation/Vice Ch"
[7] "BANK OF AMERICA CORPORATION"
>
> agrep("BANK OF AMERICA CORP",C1999_0[,2],ignore.case = TRUE, value = TRUE,fixed = TRUE,max.distance =0.05)
[1] "BANK OF AMERICA CORP" "Bank of America Corporation/Sales C"
[3] "Bank of America Corporation/Banker" "Bank of America Corporation/Senior"
[5] "Bank of America Corporation/Vice Ch" "BANK OF AMERICA CORPORATION"
然后是“最大距离”分别为“ 0.2”，“ 0.1”和“ 0.05”的“第一资本银行”：
> agrep("1st Capital Bank",C1999_0[,2],ignore.case = TRUE, value = TRUE,fixed = TRUE,max.distance =0.2)
[1] "HURST CAPITAL PARTNERS"
[2] "SOY CAPITAL BANK"
[3] "FIRST CAPITOL BANK OF VICTOR"
[4] "OSTERWEIS CAPITAL MANAGEMENT"
[5] "1ST NATIONAL BANK"
[6] "FIRST CAPITAL BANK"
[7] "SEATTLE 1ST NAT'L BANK"
[8] "FIELD POINT CAPITAL MANAGEMENT"
[9] "SUMMERSET CAPITAL MANAGEMENT"
[10] "AMERIQUEST CAPITAL ASSOC"
[11] "BB&T CAPITAL MARKETS"
[12] "HUGHES CAPITAL MANAGEMENT"
[13] "WELLS CAPITAL MANAGEMENT"
[14] "SUPERIOR ST CAPITAL ADVISORS"
[15] "ORMES CAPITAL MARKETS INC"
[16] "1ST NAT'L BANK OF IL"
[17] "ADVENT CAPITAL MANAGEMENT"
[18] "1ST CAPITOL BANK"
[19] "BIONDI REISS CAPITAL MANAGEMENT"
[20] "CCYBYS CAPITAL MARKETS"
[21] "SEACOAST CAPITAL PARTNERS"
[22] "DOUGLAS CAPITAL MANAGEMENT"
[23] "HIGHFIELDS CAPITAL MANAGEMENT"
[24] "PRECEPT CAPITAL MANAGEMENT LP"
[25] "AUGUST CAPITAL MANAGEMENT"
[26] "SAKSA CAPITAL MANAGEMENT"
[27] "IMS CAPITAL MANAGEMENT"
[28] "TRENT CAPITAL MANAGEMENT"
[29] "Ormes Capital Management"
[30] "GARNET CAPITAL MANAGEMENT LLC"
[31] "INTERFASE CAPITAL MANAGERS"
[32] "RJS CAPITAL MANAGEMENT INC"
[33] "1ST NATIONAL BANK OF DE KALB"
[34] "1ST NAT'L BANK OF PHILLIPS CO"
[35] "1ST NAT'L BANK OF OKLAHOMA"
[36] "PROGRESS CAPITAL MANAGEMENT INC"
[37] "CAPITAL BANK & TRUST"
[38] "1ST NATL BANK"
[39] "ASB Capital Management/Real Estate"
[40] "Sears Capital Management"
[41] "Osterweis Capital Management/Invest"
[42] "Cerberus Capital Management LP/Asse"
[43] "LVS Capital Management/President"
[44] "1st Central Bank/Banker"
[45] "Summit Capital Management"
[46] "Orwes Capital Markets/Stockbroker"
[47] "Ormes Capital Management/Investment"
[48] "Nevis Capital Management/Investment"
[49] "Duncan Hurst Capital Management"
[50] "Progress Capital Management/Preside"
[51] "Cerberus Capital Management LP"
[52] "Wit Capital/Banker"
[53] "Ormes Capital Markets Inc."
[54] "Ormes Capital Markets/President & C"
[55] "Berents & Hess Capital Management"
[56] "Progress Capital Management/Venture"
[57] "First Capital Bank of KY"
[58] "Foothill Capital/Banker"
[59] "Pequot Capital Management/Equity Re"
[60] "First Dominion Capital/Banking"
[61] "Greenwhich Capital/Banker"
[62] "Veritas Capital Management/Banker"
[63] "Veritas Capital Management/Investme"
[64] "Lesese Capital Management/Investmen"
[65] "Douglas Capital Management/Investme"
[66] "FIRST NATINAL BANK OF AMARILLO"
[67] "NEVIS CAPITAL MANAGEMENT"
[68] "VERITAS CAPITAL MANAGEMENT"
[69] "SIEBERT CAPITAL MARKETS"
[70] "HOURGLASS CAPITAL MANAGEMENT"
[71] "1ST NATIONAL BANK DALHART"
[72] "TEXAS CAPITAL BANK"
[73] "NICHOLAS CAPITAL MANAGEMENT"
[74] "CERBUS CAPITAL MANAGEMENT"
[75] "CROESUS CAPITAL MANAGEMENT"
[76] "EAST WEST CAPITAL ASSOCIATES INC"
[77] "PRENDERGAST CAPITAL MANAGEMENT"
[78] "NANTUCKET CAPITAL MANAGEMENT"
[79] "1ST NATIONAL BANK TEMPLE"
[80] "ENTRUST CAPITAL INC"
[81] "1ST NATIONAL BANK OF IL"
[82] "SIMMS CAPITAL MANAGEMENT"
[83] "FIRST CAPITAL ADVISORS"
[84] "FIRST CAPITAL MANAGEMENT LTD"
[85] "1ST NATIONAL BANK & TRUST"
[86] "PENTECOST CAPITAL MANAGEMENT INC"
[87] "EAST-WEST CAPITAL ASSOCIATES"
[88] "1ST NAT'L BANK OF JOLIET"
[89] "FIRST CAPITOL BANK OF VICTO"
[90] "FIRST CAPITAL FINANCIAL"
[91] "PACIFIC COAST CAPITAL PARTNERS"
[92] "FIRST CAPITOL BANK"
[93] "FIRST CAPITAL ENGINEERING"
[94] "MIDWEST CAPITOL MANAGEMENT"
[95] "PEQUOT CAPITAL MANAGEMENT"
[96] "AGGOTT CAPITAL MANAGEMENT"
[97] "SIMMS CAPITAL MANAGEMENT INC"
[98] "PHILLIPS CAPITAL MANAGEMENT LLC"
[99] "1ST NATIONAL BANK OF COLD SP"
[100] "SOY CAPITOL BANK"
>
> agrep("1st Capital Bank",C1999_0[,2],ignore.case = TRUE, value = TRUE,fixed = TRUE,max.distance =0.1)
[1] "FIRST CAPITOL BANK OF VICTOR" "FIRST CAPITAL BANK"
[3] "1ST CAPITOL BANK" "First Capital Bank of KY"
[5] "TEXAS CAPITAL BANK" "FIRST CAPITOL BANK OF VICTO"
[7] "FIRST CAPITOL BANK"
>
> agrep("1st Capital Bank",C1999_0[,2],ignore.case = TRUE, value = TRUE,fixed = TRUE,max.distance =0.05)
[1] "FIRST CAPITAL BANK" "1ST CAPITOL BANK"
[3] "First Capital Bank of KY"
如您所见，要找到适用于每个字符串（例如“ BANK OF AMERICA CORP”和“ 1st Capital Bank”）的每个字符串的“最大距离”的通用精度值，确实很困难。另外，除了这两个名称之外，我还有更多的公司名称，这就是为什么我很难找到模糊字符串匹配的通用精度值和命令的原因。
C1999_0的原始数据文件太大而无法附加，因此我认为仅使用上面显示的输出值就可以复制。
我知道有几个子类别可以操作，例如成本，替换，插入等，但是仅更改“最大距离”值本身并没有多大区别。
如果能获得帮助，我将不胜感激！
答案 0 :(得分：3)
agrep的一个问题是，grep中记录的help("grep")就像
由于有人不小心阅读了说明，甚至对此提交了错误报告，因此请注意，它匹配
x的每个元素的子字符串（就像grep一样），而不是整个元素。另请参见软件包 utils 中的adist，该软件包可以有选择地返回匹配的子字符串的偏移量。
在您的后一个示例中，这似乎是个问题，因为您有许多名称包含“ Capital”或“ Bank”或两者。我要做的是用来计算Levenshtein distance（这是agrep的作用，或者是广义版本，并且仅用于子字符串），并采用最短的距离。例如，
C1999 <- c("HURST CAPITAL PARTNERS", "SOY CAPITAL BANK", "FIRST CAPITOL BANK OF VICTOR", "OSTERWEIS CAPITAL MANAGEMENT", "1ST NATIONAL BANK", "FIRST CAPITAL BANK", "SEATTLE 1ST NAT'L BANK", "FIELD POINT CAPITAL MANAGEMENT", "SUMMERSET CAPITAL MANAGEMENT", "AMERIQUEST CAPITAL ASSOC", "BB&T CAPITAL MARKETS", "HUGHES CAPITAL MANAGEMENT", "WELLS CAPITAL MANAGEMENT", "SUPERIOR ST CAPITAL ADVISORS", "ORMES CAPITAL MARKETS INC", "1ST NAT'L BANK OF IL", "ADVENT CAPITAL MANAGEMENT", "1ST CAPITOL BANK", "BIONDI REISS CAPITAL MANAGEMENT", "CCYBYS CAPITAL MARKETS", "SEACOAST CAPITAL PARTNERS", "DOUGLAS CAPITAL MANAGEMENT", "HIGHFIELDS CAPITAL MANAGEMENT", "PRECEPT CAPITAL MANAGEMENT LP", "AUGUST CAPITAL MANAGEMENT", "SAKSA CAPITAL MANAGEMENT", "IMS CAPITAL MANAGEMENT", "TRENT CAPITAL MANAGEMENT", "Ormes Capital Management", "GARNET CAPITAL MANAGEMENT LLC", "INTERFASE CAPITAL MANAGERS", "RJS CAPITAL MANAGEMENT INC", "1ST NATIONAL BANK OF DE KALB", "1ST NAT'L BANK OF PHILLIPS CO", "1ST NAT'L BANK OF OKLAHOMA", "PROGRESS CAPITAL MANAGEMENT INC", "CAPITAL BANK & TRUST", "1ST NATL BANK", "ASB Capital Management/Real Estate", "Sears Capital Management", "Osterweis Capital Management/Invest", "Cerberus Capital Management LP/Asse", "LVS Capital Management/President", "1st Central Bank/Banker", "Summit Capital Management", "Orwes Capital Markets/Stockbroker", "Ormes Capital Management/Investment", "Nevis Capital Management/Investment", "Duncan Hurst Capital Management", "Progress Capital Management/Preside", "Cerberus Capital Management LP", "Wit Capital/Banker", "Ormes Capital Markets Inc.", "Ormes Capital Markets/President & C", "Berents & Hess Capital Management", "Progress Capital Management/Venture", "First Capital Bank of KY", "Foothill Capital/Banker", "Pequot Capital Management/Equity Re", "First Dominion Capital/Banking", "Greenwhich Capital/Banker", "Veritas Capital Management/Banker", "Veritas Capital Management/Investme", "Lesese Capital Management/Investmen", "Douglas Capital Management/Investme", "FIRST NATINAL BANK OF AMARILLO", "NEVIS CAPITAL MANAGEMENT", "VERITAS CAPITAL MANAGEMENT", "SIEBERT CAPITAL MARKETS", "HOURGLASS CAPITAL MANAGEMENT", "1ST NATIONAL BANK DALHART", "TEXAS CAPITAL BANK", "NICHOLAS CAPITAL MANAGEMENT", "CERBUS CAPITAL MANAGEMENT", "CROESUS CAPITAL MANAGEMENT", "EAST WEST CAPITAL ASSOCIATES INC", "PRENDERGAST CAPITAL MANAGEMENT", "NANTUCKET CAPITAL MANAGEMENT", "1ST NATIONAL BANK TEMPLE", "ENTRUST CAPITAL INC", "1ST NATIONAL BANK OF IL", "SIMMS CAPITAL MANAGEMENT", "FIRST CAPITAL ADVISORS", "FIRST CAPITAL MANAGEMENT LTD", "1ST NATIONAL BANK & TRUST", "PENTECOST CAPITAL MANAGEMENT INC", "EAST-WEST CAPITAL ASSOCIATES", "1ST NAT'L BANK OF JOLIET", "FIRST CAPITOL BANK OF VICTO", "FIRST CAPITAL FINANCIAL", "PACIFIC COAST CAPITAL PARTNERS", "FIRST CAPITOL BANK", "FIRST CAPITAL ENGINEERING", "MIDWEST CAPITOL MANAGEMENT", "PEQUOT CAPITAL MANAGEMENT", "AGGOTT CAPITAL MANAGEMENT", "SIMMS CAPITAL MANAGEMENT INC", "PHILLIPS CAPITAL MANAGEMENT LLC", "1ST NATIONAL BANK OF COLD SP", "SOY CAPITOL BANK")
func <- function(x, y, tol = 0L){
require(stringdist)
dista <- stringdist::stringdist(x, y, method = "lv")
min_dista <- min(dista)
y[dista <= min_dista + tol]
}
func("1st Capital Bank", C1999)
#R [1] "Wit Capital/Banker"
func("1st Capital Bank", C1999, 4L)
#R [1] "Wit Capital/Banker" "First Capital Bank of KY"
func("1st Capital Bank", C1999, 10L)
#R [1] "SOY CAPITAL BANK" "1ST NATIONAL BANK"
#R [3] "FIRST CAPITAL BANK" "1ST CAPITOL BANK"
#R [5] "Ormes Capital Management" "1ST NATL BANK"
#R [7] "Sears Capital Management" "1st Central Bank/Banker"
#R [9] "Summit Capital Management" "Wit Capital/Banker"
#R [11] "Ormes Capital Markets Inc." "First Capital Bank of KY"
#R [13] "Foothill Capital/Banker" "Greenwhich Capital/Banker"
#R [15] "TEXAS CAPITAL BANK" "FIRST CAPITOL BANK"
#R [17] "SOY CAPITOL BANK"
# ignoring cases
func <- function(x, y, tol = 0L){
require(stringdist)
dista <- stringdist::stringdist(tolower(x), tolower(y), method = "lv")
min_dista <- min(dista)
y[dista <= min_dista + tol]
}
func("1st Capital Bank", C1999, 0L)
#R [1] "1ST CAPITOL BANK"
如果要包括距最小Levenshtein距离tol更远的示例，则func中的tol参数控制。我发现我没有完全回答您的要求（如何使用agrep获得模糊字符串匹配的精确的通用“最大距离”值？），但我认为我的回答是正确的可能就是您要寻找的。
我使用stringdist::stringdist代替adist，因为前者似乎更快。它仍然可能有点慢，我希望在那里有一个R包，您可以在其中设置最大距离，但我没有遇到过这样的包。这可以使Levenshtein距离（然后设上限）的计算更快。
答案 1 :(得分：2)
如上所述，这似乎是一个无法解决的问题，没有一个最大距离对所有输入字符串都适用。
可能值得尝试使用类似tf-idf的方法来识别字符串的异常情况，并将最大距离扩展到该范围。因此，“ Ziggurat Mutual”比“ First Bank National”具有更大的变更空间。
您还可以考虑使用Fuzzyjoin软件包，该软件包提供了一些尝试不同选项的快速方法。例如，您可以尝试：
df <- c("HURST CAPITAL PARTNERS", "SOY CAPITAL BANK", "FIRST CAPITOL BANK OF VICTOR", "OSTERWEIS CAPITAL MANAGEMENT", "1ST NATIONAL BANK", "FIRST CAPITAL BANK", "SEATTLE 1ST NAT'L BANK", "FIELD POINT CAPITAL MANAGEMENT", "SUMMERSET CAPITAL MANAGEMENT", "AMERIQUEST CAPITAL ASSOC", "BB&T CAPITAL MARKETS", "HUGHES CAPITAL MANAGEMENT", "WELLS CAPITAL MANAGEMENT", "SUPERIOR ST CAPITAL ADVISORS", "ORMES CAPITAL MARKETS INC", "1ST NAT'L BANK OF IL", "ADVENT CAPITAL MANAGEMENT", "1ST CAPITOL BANK", "BIONDI REISS CAPITAL MANAGEMENT", "CCYBYS CAPITAL MARKETS", "SEACOAST CAPITAL PARTNERS", "DOUGLAS CAPITAL MANAGEMENT", "HIGHFIELDS CAPITAL MANAGEMENT", "PRECEPT CAPITAL MANAGEMENT LP", "AUGUST CAPITAL MANAGEMENT", "SAKSA CAPITAL MANAGEMENT", "IMS CAPITAL MANAGEMENT", "TRENT CAPITAL MANAGEMENT", "Ormes Capital Management", "GARNET CAPITAL MANAGEMENT LLC", "INTERFASE CAPITAL MANAGERS", "RJS CAPITAL MANAGEMENT INC", "1ST NATIONAL BANK OF DE KALB", "1ST NAT'L BANK OF PHILLIPS CO", "1ST NAT'L BANK OF OKLAHOMA", "PROGRESS CAPITAL MANAGEMENT INC", "CAPITAL BANK & TRUST", "1ST NATL BANK", "ASB Capital Management/Real Estate", "Sears Capital Management", "Osterweis Capital Management/Invest", "Cerberus Capital Management LP/Asse", "LVS Capital Management/President", "1st Central Bank/Banker", "Summit Capital Management", "Orwes Capital Markets/Stockbroker", "Ormes Capital Management/Investment", "Nevis Capital Management/Investment", "Duncan Hurst Capital Management", "Progress Capital Management/Preside", "Cerberus Capital Management LP", "Wit Capital/Banker", "Ormes Capital Markets Inc.", "Ormes Capital Markets/President & C", "Berents & Hess Capital Management", "Progress Capital Management/Venture", "First Capital Bank of KY", "Foothill Capital/Banker", "Pequot Capital Management/Equity Re", "First Dominion Capital/Banking", "Greenwhich Capital/Banker", "Veritas Capital Management/Banker", "Veritas Capital Management/Investme", "Lesese Capital Management/Investmen", "Douglas Capital Management/Investme", "FIRST NATINAL BANK OF AMARILLO", "NEVIS CAPITAL MANAGEMENT", "VERITAS CAPITAL MANAGEMENT", "SIEBERT CAPITAL MARKETS", "HOURGLASS CAPITAL MANAGEMENT", "1ST NATIONAL BANK DALHART", "TEXAS CAPITAL BANK", "NICHOLAS CAPITAL MANAGEMENT", "CERBUS CAPITAL MANAGEMENT", "CROESUS CAPITAL MANAGEMENT", "EAST WEST CAPITAL ASSOCIATES INC", "PRENDERGAST CAPITAL MANAGEMENT", "NANTUCKET CAPITAL MANAGEMENT", "1ST NATIONAL BANK TEMPLE", "ENTRUST CAPITAL INC", "1ST NATIONAL BANK OF IL", "SIMMS CAPITAL MANAGEMENT", "FIRST CAPITAL ADVISORS", "FIRST CAPITAL MANAGEMENT LTD", "1ST NATIONAL BANK & TRUST", "PENTECOST CAPITAL MANAGEMENT INC", "EAST-WEST CAPITAL ASSOCIATES", "1ST NAT'L BANK OF JOLIET", "FIRST CAPITOL BANK OF VICTO", "FIRST CAPITAL FINANCIAL", "PACIFIC COAST CAPITAL PARTNERS", "FIRST CAPITOL BANK", "FIRST CAPITAL ENGINEERING", "MIDWEST CAPITOL MANAGEMENT", "PEQUOT CAPITAL MANAGEMENT", "AGGOTT CAPITAL MANAGEMENT", "SIMMS CAPITAL MANAGEMENT INC", "PHILLIPS CAPITAL MANAGEMENT LLC", "1ST NATIONAL BANK OF COLD SP", "SOY CAPITOL BANK")
library(dplyr); library(fuzzyjoin)
df <- df %>% as_data_frame()
df %>%
# Allowable methods include osa, lv, dl, hamming, lcs, qgram,
# cosine, jaccard, jw, soundex
fuzzyjoin::stringdist_inner_join(df, method = "lv", distance_col = "distance", max_dist = 4) %>%
filter(distance > 0)
Joining by: "value"
# A tibble: 70 x 3
value.x value.y distance
<chr> <chr> <dbl>
1 SOY CAPITAL BANK 1ST CAPITOL BANK 4
2 SOY CAPITAL BANK SOY CAPITOL BANK 1
3 FIRST CAPITOL BANK OF VICTOR FIRST CAPITOL BANK OF VICTO 1
4 1ST NATIONAL BANK 1ST NATL BANK 4
5 FIRST CAPITAL BANK 1ST CAPITOL BANK 4
6 FIRST CAPITAL BANK FIRST CAPITOL BANK 1
7 HUGHES CAPITAL MANAGEMENT DOUGLAS CAPITAL MANAGEMENT 4
8 HUGHES CAPITAL MANAGEMENT AUGUST CAPITAL MANAGEMENT 4
9 WELLS CAPITAL MANAGEMENT IMS CAPITAL MANAGEMENT 4
10 WELLS CAPITAL MANAGEMENT NEVIS CAPITAL MANAGEMENT 3
...在您的示例列表中尝试潜在的不完全匹配。