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Environmental Dataset Classification Using K-nn Classification Method
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kunadharaju, Hari Prasada Raju |
| Copyright Year | 2014 |
| Abstract | The aim of this research paper is the classification of environmental datasets as belonging to either North America or South America using KNN classifier for which different texture features are utilized to characterize the information level contained in the image. The proposed method is compared with hidden markov model (HMM) classifier. To evaluate the performance of the proposed method, classification rate, recall, and precision evaluation metrics are chosen. The comparative results of the research demonstrates that KNN provides much higher precision and low error rates as compared to KNN and HMM classifier. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.gjaet.com/wp-content/uploads/2014/09/ENVIRONMENTAL-DATASET-CLASSIFICATION-USING-K-NN-CLASSIFICATION-METHOD3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
