|
DSpace@nitr >
National Institue of Technology- Rourkela >
Journal Articles >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/1486
|
Full metadata record
| DC Field | Value | Language |
|---|
| contributor.author | Kundu, M | - |
| contributor.author | Naga, C K | - |
| date.accessioned | 2011-07-12T06:17:58Z | - |
| date.available | 2011-07-12T06:17:58Z | - |
| date.issued | 2010-09 | - |
| identifier.citation | International Electronic Engineering Mathematical Society, Volume (5), September 2010, pp. 1-8 | en |
| identifier.issn | 1687-787X | - |
| identifier.uri | http://hdl.handle.net/2080/1486 | - |
| description | Copyright belongs to IEEMS | en |
| description.abstract | Monitoring of a product quality & controlling it for ensuring certain standards using
multivariate statistics has become almost a norm in food and beverage industry. A pattern
recognition tool, principal component analysis (PCA) was applied to discriminate reliably
among 178 samples of wine possessing 13 number of feature variables. K-means clustering, a
supervised clustering technique was used to designate the classes available among the wine
samples with the help of first two principal components. Hierarchical clustering technique
was also applied to classify them with a mention of their classification level in the produced
dendrograms. A classifier was developed using probabilistic neural networks (PNN) which
can help in online process motoring. | en |
| format.extent | 225350 bytes | - |
| format.mimetype | application/pdf | - |
| language.iso | en | - |
| publisher | IEEMS | en |
| subject | K-means | en |
| subject | Statistical Quality Control | en |
| title | Application of probabilistic neural network for Wine classification | en |
| type | Article | en |
| Appears in Collections: | Journal Articles
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| Paper-1-Vol-5-pp-1-8.pdf | | 220Kb | Adobe PDF | View/Open |
|
Show simple item record
All items in DSpace are protected by copyright, with all rights reserved.
|
