Brunsdon, Chris (2007) Visualisation of Regression Trees. Citeseer.
Preview
CB_trees.pdf
Download (123kB) | Preview
Abstract
he regression tree [1] has been used as a tool for exploring multivariate data sets for some
time. As in multiple linear regression, the technique is applied to a data set consisting of a contin-
uous
response
variable
y
and a set of
predictor
variables
{
x
1
,x
2
,...,x
k
}
which may be continuous
or categorical. However, instead of modelling
y
as a linear function of the predictors, regression
trees model
y
as a series of ‘if-then-else’ rules based on values of the predictors
Item Type: | Article |
---|---|
Keywords: | Visualisation; Regression Trees; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG |
Item ID: | 6149 |
Depositing User: | Prof. Chris Brunsdon |
Date Deposited: | 26 May 2015 14:28 |
Journal or Publication Title: | Citeseer |
Publisher: | The Pennsylvania State University |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/6149 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year