You are missing trading opportunities:
- Free trading apps
- Over 8,000 signals for copying
- Economic news for exploring financial markets
Registration
Log in
You agree to website policy and terms of use
If you do not have an account, please register
you won't find the densest points of any row more accurately
that's the only way to find the point that's closest to all the others - i.e. where the density is.
Am I good?)
Well done for thinking about this topic.
However, your method will only find one number without assigning it to a group of numbers representing a cluster. Imagine a starry sky - there are areas on it with a dense scattering of stars and there are single stars, our task is to find an algorithm to determine these densities.
No, the first picture has two numbers.
And the second
you, you can put the numbers in ascending order of calculated density, and take as many as you want
Well done for thinking about this topic.
However, your method will only allow us to find one number, without assigning it to a group of numbers representing a cluster. Imagine a starry sky - there are areas in it with a dense scattering of stars and there are single stars, our task is to find an algorithm to determine these densities.
so please
find the densest numbers as I've written.
If you need any clusters.
then enter what parameters you need and what to take as a cluster.
let's say you consider as a cluster a number next to which there are 3 or more numbers, at a delta distance of no more than 5
I counted all the deltas for the numbers, saw who has 3 or more numbers with a delta less than 5.
and got a series of numbers
with my method you can
1. Find the densest numbers/numbers in the whole number series
2. Find clusters
3. again find specifically in these clusters the densest points
No, the first picture has two numbers.
And the second
you, you can put the numbers in ascending order of calculated density, and take as many as you want.
So the thing is, you don't know initially how many you need. So how much is a relative question...
Let's take the numbers I suggested earlier and use your algorithm
Now let's arrange the numbers sequentially - depending on the sum of deltas, and compare it with my proposed algorithm
Numbers from 190 can be discarded, but what about 65, 71, 31? Also, as I noted earlier, it is not clear how to group these numbers together.
with my method you can
1. Find the densest numbers/numbers in the whole number series
2. Find clusters
3. again find specifically in these clusters the densest points
Demonstrate on the numbers above - point by point - maybe I don't fully understand the method. Provided we don't know the density parameters beforehand - i.e. we can't fit them to a particular numerical series.
that we do not know the parameters of the density of the pre
That can't be right.
If you don't know initially what to take as density, at least starting from which value the density starts you won't find it
that we do not know the parameters of the density of the pre
That can't be right.
If you don't know initially what to take as the density, at least starting from which value the density starts you won't find it
Why can't it do that? There are rows of numbers and you have to make a decision... My algorithm (I haven't tested it much) is able to do this.
I do not understand the picture above first
Table from excel did not work to insert - limit on the number of characters in the forum. The table shows your method, for each number (second column) is delta (made modulo) relative to all other numbers, then the delta is summed up.
give me a small series of numbers up to 10 numbers I will show
10 is not enough - take the above numbers for clarity.