Pattern Recognition Using K-Nearest Neighbors (KNN) Technique
The aim of this project is to develop a better image processing algorithm using K-Nearest Neighbors (KNN) technique. This project will apply supervised learning, thus require the author to gather training data and testing data consist of written alphabets.
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2010
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| Online Access: | http://utpedia.utp.edu.my/154/1/Mohd_Farisfaiz_Bin_Che_Lah.pdf http://utpedia.utp.edu.my/154/ |
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my-utp-utpedia.1542017-01-25T09:43:26Z http://utpedia.utp.edu.my/154/ Pattern Recognition Using K-Nearest Neighbors (KNN) Technique Mohd Farisfaiz Bin Che Lah, Mohd Farisfaiz TK Electrical engineering. Electronics Nuclear engineering The aim of this project is to develop a better image processing algorithm using K-Nearest Neighbors (KNN) technique. This project will apply supervised learning, thus require the author to gather training data and testing data consist of written alphabets. 2010 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/154/1/Mohd_Farisfaiz_Bin_Che_Lah.pdf Mohd Farisfaiz Bin Che Lah, Mohd Farisfaiz (2010) Pattern Recognition Using K-Nearest Neighbors (KNN) Technique. UNSPECIFIED. (Unpublished) |
| institution |
Universiti Teknologi Petronas |
| building |
UTP Resource Centre |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
UTP Electronic and Digitized Intellectual Asset |
| url_provider |
http://utpedia.utp.edu.my/ |
| language |
English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Mohd Farisfaiz Bin Che Lah, Mohd Farisfaiz Pattern Recognition Using K-Nearest Neighbors (KNN) Technique |
| description |
The aim of this project is to develop a better image processing algorithm using K-Nearest Neighbors (KNN) technique. This project will apply supervised learning, thus require the author to gather training data and testing data consist of written alphabets. |
| format |
Final Year Project |
| author |
Mohd Farisfaiz Bin Che Lah, Mohd Farisfaiz |
| author_facet |
Mohd Farisfaiz Bin Che Lah, Mohd Farisfaiz |
| author_sort |
Mohd Farisfaiz Bin Che Lah, Mohd Farisfaiz |
| title |
Pattern Recognition Using K-Nearest Neighbors (KNN) Technique |
| title_short |
Pattern Recognition Using K-Nearest Neighbors (KNN) Technique |
| title_full |
Pattern Recognition Using K-Nearest Neighbors (KNN) Technique |
| title_fullStr |
Pattern Recognition Using K-Nearest Neighbors (KNN) Technique |
| title_full_unstemmed |
Pattern Recognition Using K-Nearest Neighbors (KNN) Technique |
| title_sort |
pattern recognition using k-nearest neighbors (knn) technique |
| publishDate |
2010 |
| url |
http://utpedia.utp.edu.my/154/1/Mohd_Farisfaiz_Bin_Che_Lah.pdf http://utpedia.utp.edu.my/154/ |
| _version_ |
1739830624288505856 |
| score |
13.149126 |