jeena/catdog
1
0
Fork 0
Code Issues Pull requests Projects Packages Wiki Activity Actions

typo

Browse source
This commit is contained in:
Jeena 2013-10-15 21:23:53 +02:00
parent 7b0fb71442
commit 36e21b7af3
1 changed files with 1 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

2
report.md
View file

@ -95,7 +95,7 @@ I also extracted the amount of black pixels in the image to use it as a possible
# 4. _k_-nearest neighbor algorithm
I chose to use the _k_-Nearest Neighbors algorithm which only locally looks at the neighbors of the document in a radius predefined by the user. It assumes that the document is of the same category as the highest number of neighbors within this radius.
In the following figure you can see that depending if the user choses k = 3, as shown by the solid line, the algorithm will conclude that the document in the center (green smiley) is of the type triangle because most of this three neighbors are triangles. If on the other hand the user choses k = 7, as showed by the dotted line, then the amount of neighbors which are rectangles is greater as the amount of neighbors which are triangles, so it concludes that the smiley is of type rectangle.
In the following figure you can see that depending if the user choses k = 3, as shown by the solid line, the algorithm will conclude that the document in the center (green smiley) is of the type triangle because most of this three neighbors are triangles. If on the other hand the user choses k = 7, as shown by the dotted line, then the amount of neighbors which are rectangles is greater as the amount of neighbors which are triangles, so it concludes that the smiley is of type rectangle.
![k-Nearest Neighbours as a graphic](https://jeena.net/images/2013/catdog/k-nearest-neighbours.png)