Annual runoff prediction using a nearest-neighbour method based on cosine angle distance for similarity estimation
The Nearest Neighbour Method (NNM) is a data-driven and non-parametric scheme established on the similarity characteristics of hydrological phenomena. One of the important parts of NNM is to choose a proper distance measure. The Euclidean distance (EUD) is a commonly used distance measure, which rep...
Main Authors: | G. Qin, H. Li, X. Wang, Q. He, S. Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2015-05-01
|
Series: | Proceedings of the International Association of Hydrological Sciences |
Online Access: | https://www.proc-iahs.net/368/204/2015/piahs-368-204-2015.pdf |
Similar Items
-
Distance and Cosine Angle-Based K-nearest neighbor Classification with Bayesian Framework
by: Yui-Hui Chang, et al.
Published: (2015) -
Estimating individual tree growth with the k-nearest neighbour and k-Most Similar Neighbour methods
by: Sironen, Susanna, et al.
Published: (2001-01-01) -
k-Nearest Neighbour Classification of Datasets with a Family of Distances
by: Hatko, Stan
Published: (2015) -
Comparison of distance measurement on k-nearest neighbour in textual data classification
by: Wahyono Wahyono, et al.
Published: (2020-01-01) -
Nearest neighbour epidemic processes
by: Lloyd, Michael
Published: (1994)