matching

I don't think this question has asked yet (most similar questions are about extracting data or returning a count). I am new to R, so any help would be appreciated! I have a dataset of multiple runs of an experiment in one file and the data looks like this, where i have all the time steps for each run in rows time [info] id (unique per run) I am attempting to calculate when the system reaches equilibrium, which I am defining as stable values in 3 interdependent parameters. I would like to have the contents of rows compared and if they are within 5% of each other over 20 timesteps, to return the

Is there good implementation of Hungarian algorithm in standard python libraries? jcomeau_ictx I just tried: pip install munkres and it worked. Here you can find a short explanation on how to use it. I got an error trying to install "hungarian". Check this munkres out There are multiple Options: pip install munkres Documentation here pip install hungarian Documentation here pip install scipy scipy.optimize.linear_sum_assignment Documentation here 来源： https://stackoverflow.com/questions/4075669/hungarian-algorithm-in-python

I am doing string matching with big amount of data. EDIT: I am matching words contained in a big list with some ontology text files. I take each file from ontology, and search for a match between the third String of each file line and any word from the list. I made a mistake in overseeing the fact that what I need to do is not pure matching (results are poor), but I need some looser matching function that will also return results when the string is contained inside another string. I did this with a Radix Trie ; it was very fast and works nice, but now I guess my work is useless because a trie

I have a situation where I need to allocate people to several events. If we just had a price as a factor, it would be fine, but there is a number of factors that come in. First, some background. This is for a non-profit organization that promotes story hours for children that are hospitalized for any reason, so they depend on voluntary work to do so. So, since they rely on people's good will, they give people as much work as people can / want to do, which varies like: Some people can only do mornings, and some other people can only do afternoons; Some people can only do Mondays, and Thursdays,

I know that there are similar questions to mine that have been answered, but after reading through them I still don't have the solution I'm looking for. Using Python 3.2.2, I need to match "Month, Day, Year" with the Month being a string, Day being two digits not over 30, 31, or 28 for February and 29 for February on a leap year. (Basically a REAL and Valid date) This is what I have so far: pattern = "(January|February|March|April|May|June|July|August|September|October|November|December)[,][ ](0[1-9]|[12][0-9]|3[01])[,][ ]((19|20)[0-9][0-9])" expression = re.compile(pattern) matches =

i have a question about how to do a common programming task in linq. lets say we have do different collections or arrays. What i would like to do is match elements between arrays and if there is a match then do something with that element. eg: string[] collection1 = new string[] { "1", "7", "4" }; string[] collection2 = new string[] { "6", "1", "7" }; foreach (string str1 in collection1) { foreach (string str2 in collection2) { if (str1 == str2) { // DO SOMETHING EXCITING/// } } } This can obviously be accomplished using the code above but what i am wondering if there is a fast and neat way

What's the difference between these two templates? <xsl:template match="node()"> <xsl:template match="*"> <xsl:template match="node()"> is an abbreviation for: <xsl:template match="child::node()"> This matches any node type that can be selected via the child:: axis : element text-node processing-instruction (PI) node comment node. On the other side : <xsl:template match="*"> is an abbreviation for: <xsl:template match="child::*"> This matches any element . The XPath expression: someAxis::* matches any node of the primary node-type for the given axis. For the child:: axis the primary node-type

I know this question have been asked a lot of time. I want a suggestion on which algorithm is suitable for approximate string matching. The application is specifically for company name matching only and nothing else. The biggest challenge is probably the company end name part and short named part Example: 1. companyA pty ltd vs companyA pty. ltd. vs companyA 2. WES Engineering vs W.E.S. Engineering (extremely rare occurance) Do you think Levenshtein Edit Distance is adequate? I'm using C# Regards, Max hashable There are various string distance metrics you could use. I would recommend Jaro