Short for two dimensions. For example a map is a 2d model of the world.
Questions tagged [2d]
11 questions
4
votes
1 answer
How to properly smooth a 2d map?
Lately I've been trying to model the probability of success for an event given it's location. Basically, the data I have consists of locations in x and y coordinates, and a corresponding value of 1 or 0 (indicating success or failure). When I bin…
Nils Mackay
- 141
- 2
3
votes
1 answer
What is histogram classifier and how to use it?
This question is about the assignment on my ML course..
I have been given two continuous data in a normal distribution and predict the values of both for class labels(m/f) in 2 steps:
build a histogram
use the histogram as a classifier to predict…
Ironman
- 31
- 2
2
votes
1 answer
Visualize uncertainties in 2D density plot
I am looking for a good way to visualize uncertainties of an observable plotted in a 2d density plot. The plot that I have is similar to the following:
The color represents the value of the observable, so I cannot use it for uncertainties and I…
254
- 23
- 2
2
votes
0 answers
Density on Worldmap based on Relative Frequency
I'm trying to plot a 2d density on a worldmap. The problem is most of my points are around the same coordinates. My current map looks like this:
Code for map:
map = get_map(location = c(lon=43, lat=36), zoom = 6)
ggmap(map) +…
Nico
- 21
- 2
1
vote
2 answers
How are regression lines calculated for 2D histograms?
I've been looking into how to fit a line to a 2D histogram and have come across different pieces of information which I can't quite piece together. To show what I mean, I want to achieve something like the image below which is taken from a…
MikeKatz45
- 245
- 1
- 8
1
vote
1 answer
Non linear regression on 2D features space using SVR failed
I try to estimate the execution time of some application based on the mCPUs (fraction of physical CPU) used for the run and the overall size of input data that the application is processing.
The data set (from executing the application on different…
K4liber
- 121
- 3
1
vote
0 answers
Determine confidence interval in a 2D cross correlation map
My problem is as follows:
I have a 2D image (u,v), with each pixel representing the value of the 2D cross correlation function (ccf) at that place. I am trying to determine to what degree I can be confident that the ccf peak is in that region.…
George
- 111
- 1
1
vote
1 answer
What machine learning/deep learning technique to use for a data set consisting of 2D plane
I'm new to machine learning/deep learning field. In an assignment I've been given a data set of 1000 data points. Each data point is a 2D place of dimension 1024 x 1024. In each plane there are some points marked as class-0 (x) and some points…
rishabh
- 11
- 1
0
votes
0 answers
Generalizing variance to two dimensions
I have a 2-D probability distribution along the lines of this plot:
I know how to find the confidence interval for a 1-D probability distribution (by the definition of standard deviation or the 68-95-99 rule) but I don't know how to generalize that…
Petra
- 1
- 1
0
votes
1 answer
How to detect automatically if a two-dimensional set of points shows a trend?
I am trying to find pairs of predictor variables that give a good structure map for a dataset of chemical compounds. Structure maps in chemistry are 2D-plots, in which two independent predictor variables change along the X and Y axes, while the…
Vladislav Gladkikh
- 113
- 6
-1
votes
1 answer
What is „sample space“?
Analogous to the question: What is "feature space"?
What is the mathematical definition used in the field of machine learning for sample space?
For example, correlations can exist in feature space between features and in sample space between…
baf84b4c
- 123
- 8