How to perform KNN regression
6 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hi,
I have data as below:
X:
1
2
3
4
9
11
13
17
19
20
y:
0.1
0.3
0.4
0.65
1.5
2.5
2.7
2.9
3.2
3.6
I want to compute y values for at x values at 6.3, 15.5&21.5
1. for each value of x, I want to take 4 nearest points in my calculation and choose most reasonable one as the final y
2. In the second method, compare minkowski & chebychev distances and choose most reasonable one
Many thanks in advance,
2 commentaires
Jan
le 26 Août 2017
There is no "most reasonable" in maths. You want a valus for x=21.5, but the original data stop at x=20. There is an infinite number of possible ways to extrapolate. Without any further information like "the data follow a polynomial of order 3" it is not possible to prefer any method or even to measure the degree or reasonability. Perhaps a linear interpolation is fair, and the extrapolated values should be simply NaN.
Image Analyst
le 26 Août 2017
"In the second method, compare ....." sounds like a homework problem,
Réponses (1)
Royi Avital
le 26 Août 2017
At each point you want to calculate the value (x, y) find the K closest point (For x).
Then average them to create the new value.
0 commentaires
Voir également
Catégories
En savoir plus sur Descriptive Statistics dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!