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# Dimensionality reduction and classification on Hyperspectral Images Using Python
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## Authors
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* **DR.T.Hitendra Sarma**
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* **Syam Kakarla**
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### Prerequisites
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The things that you must have a decent knowledge on:
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* Linear Algebra
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### Installing
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### Installation
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* This project is fully based on python. So, the necessary modules needed for computaion are:
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```
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import matplotlib.pyplot as plt
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import pandas as pd
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### Results :
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### Results
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* Here we are performing the the **dimensionality reduction** on the **hyperspectral image** called [Indian Pines](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes)
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| After PCA | 60.098187 | 0.17700982 |
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* Hence, the **time** has been reduced with a lot of difference and the **classification accuracy(C.A)** also reduced but the C.A can increased little bit by varying the 'k' value.
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## License
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This project is licensed under the MIT License - see the [LICENSE.md]() file for details

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