Related to : Calculating distance between word/document vectors from a nested dictionary

Calculating the distance between 2 given points 
Here :
class Point{
int x;
int y;
.....
.....
public double distance(int x, int y) {
double d = Math.sqrt( Math.pow(x2x1, 2) + Math.pow(y2y1, 2)
); //ERROR IN THIS LINE
return distance; //ERROR HERE TOO...(2)
}
}
There is no x1,x2,y1,y2 defined in the class or in the method
parameter.
Swap it with the following line:
double d = Math.sqrt(

Calculating the distance between 2 points using getY() and getX() 
The problem is you haven't actually created your getter and setter
methods (specifically the getter methods). In Java, getter and setter
methods aren't automatically created for you; you have to explicitly
create them yourself. So, just add the following code:
public double getX() {
return x;
}
public void setX(double x) {
this.x = x;
}
public double getY()

calculating minimum Euclidean distance within a data frame 
If I followed your question correctly then it would seem that you want
something like this:
minxED = min(abs(x(2:end)  x(1:end1)));
which gets the L1 distance between adjacent elements in the vector x
and then finds the minimum distance.

Nested vectors in Linux 
You are blaming linux for your minor mistake...
virtual vector<vector<Element>>
decompose(vector<Element> p) = 0;
This should be :
virtual vector<vector<Element> >
decompose(vector<Element> p) = 0;
>> should be separated > >

Why is log used when calculating term frequency weight and IDF, inverse document frequency? 
It is not necessarily the case that more the occurrence of a term in a
document more is the relevance... the contribution of term frequency
to document relevance is essentially a sublinear function... hence
the log to approximate this sublinear function...
the same is applicable for idf as well... a linear idf function may be
boosting too much the document scores with high idf terms (which coul
