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Is there any java third party library which can be used to implement Excel's LINEST function? I want to calculate LINEST value same as LINEST[known_y's;known_x's;cont;stats] function in Excel for an array of 'x' and 'y' values. Please let me know if anyone has an idea in implementing this.
Use ApacheCommons Math Library. There are specific SimpleRegression class.
Maybe help you!
From https://support.office.com/en-us/article/LINEST-function-84d7d0d9-6e50-4101-977a-fa7abf772b6d:
"The LINEST function calculates the statistics for a line by using the 'least squares' method to calculate a straight line that best fits your data" Looks like you just need to find an algorithm for for working out the least squares
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I am trying to learn more about emoji and how they are represented in Unicode. Somewhere I read that emojis are constructed with surrogate pairs, while I recently found '\u263A' which represents '☺'. I am just trying to understand if there is a specific rule with which all emojis are constructed or there can be any unicode value(inside or outside BMP) which may represent an emoji?
Also, it will be helpful if someone can point me to a JAVA API which identifies if a character represents an emoji or is part of an emoji representation(in case of surrogate pairs).
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I am looking for a library in java or scala which can do the same clustering like scipy's linkage does.
Performs hierarchical/agglomerative clustering.
The input y may be either a 1d compressed distance matrix or a 2d
array of observation vectors.
If y is a 1d compressed distance matrix, then y must be a (n2)(n2)
sized vector where n is the number of original observations paired in
the distance matrix. The behavior of this function is very similar to
the MATLAB linkage function.
The java libraries I have found (like jblas) are pretty low level lacking of higher order algoritms like linkage. On the other hand I am pretty sure there are some libraries doing that. Would be nice if you could pin point me to one or two.
PS One can find a lot of indviduals implementing some hierarchical clustering, I prefer something more trustable library like commons math if possible. But there I could only find k means clustering.
In the end I am using this library https://github.com/lbehnke/hierarchical-clustering-java
Its not heavyly maintained but passes the comparisment to python and matlab implementations.
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I need to generate a valid dictionary word of certain length but in a random fashion. Is there an api or code snippet that does this? I tried googling it but couldn't find anything for this.
Thanks
You can download this .csv file which has around 200 thousand English words.
You can then parse the .csv file, add the entries to an ArrayList. Then create a function that randomly generates a number between the available indices of the ArrayList and then use it to get an entry at that random index. Or, you can think of something alike yourself.
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I want to rotate a BufferedImage from a math phrase so that become like this :
http://i.stack.imgur.com/ekP77.jpg
convert to :
http://i.stack.imgur.com/tYth1.jpg
we have not images and them include by user.
Minimize axis aligned bounding box area.
Simplest algorithm could do coarse estimation every 10 degrees. Pick best angle and do refinement with smaller angular step.
Probably you should pick wider rather than taller result.
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Are there any good java libraries for parsing & dealing with proprietary messages in UDP size packets? The message is a simple byte array, where each byte(s) represents enums or text/ascii values.
You could also use a ByteBuffer to wrap your byte[]
Use DataInputStream to read the type of data you want if it fits the conversions (i.e. when reading an int check the endianess used by DataNIputStream matches your platform), wrapped around a ByteArrayInputStream directly fed by your byte array.