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README.md
@@ -72,3 +72,8 @@ https://github.com/syamkakarla98/Dimensionality-reduction-and-classification-on-
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+### Conclusion :
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+ * By performing **PCA** on the corrected indian pines dataset results **100 Principal Components(PC'S)**.
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+ * since, the initial two Principal Components(PC'S) has **92.01839071674918** variance ratio. we selected two only.
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+ * Initially the dataset contains the dimensions **21025 X 200** is drastically reduced to **21025 X 2** dimensions.
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