Please use this identifier to cite or link to this item:
http://ir.mu.ac.ke:8080/jspui/handle/123456789/3927
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kamalha, Edwin | - |
dc.contributor.author | Kiberu, Jovan | - |
dc.contributor.author | Mwasiagi, Josphat Igadwa | - |
dc.date.accessioned | 2021-01-20T08:42:42Z | - |
dc.date.available | 2021-01-20T08:42:42Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://ir.mu.ac.ke:8080/jspui/handle/123456789/3927 | - |
dc.description.abstract | Cotton from the three cotton growing regions of Uganda was characterized for 13 quality parameters using the High Volume Instrument (HVI). Principal Component Analysis (PCA), Agglomerative Hierarchical Clustering (AHC) and k-means clustering were used to model cotton quality parameters. Using factor analysis, cotton yellowness and short fiber index were found to account for the highest variability. At 5% significance level, the highest correlation (0.73) was found between short fiber index and yellowness. Based on Cotton Outlook’s world classification and USDA Standards, the cotton under test was deemed of high and uniform quality, falling between Middling and Good Middling grades. Our suggested classification integrates all lint quality parameters, unlike the traditional methods that consider selected parameters. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis Group | en_US |
dc.subject | Cotton | en_US |
dc.subject | Clustering | en_US |
dc.title | Clustering and classification of cotton lint using principle component analysis, agglomerative hierarchical clustering and K-means clustering | en_US |
dc.type | Article | en_US |
Appears in Collections: | School of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Clustering and Classification of Cotton Lint Using Principle Component Analysis Agglomerative Hierarchical Clustering and K Means Clustering.pdf | 1.69 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.