Spatial and temporal torrential rainfall guided cluster pattern based on dimension reduction methods
This thesis identifies the spatial and temporal cluster patterns for torrential rainfall data in Peninsular Malaysia. Two dimension reduction methods are used to improve the cluster patterns of the torrential rainfall data. Firstly, a robust dimension reduction method in Principal Component Analysis...
Saved in:
Main Author: | Shaharudin, Shazlyn Milleana |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/81674/1/ShazlynMilleanaShaharudinPFS2017.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spatial-temporal data modelling and processing for personalised decision support
by: Othman, Muhaini
Published: (2015) -
Spatial temporal modeling of rainfall process in Malaysia
by: Abas, Norzaida
Published: (2012) -
Improved pattern extraction scheme for clustering multidimensional data
by: Musdholifah, Aina
Published: (2013) -
Methods of handling missing data with reference to rainfall in Peninsular Malaysia
by: Ho, Ming Kang
Published: (2014) -
Reservoir water release dynamic decision model based on spatial temporal pattern
by: Suriyati, Abdul Mokhtar
Published: (2016)