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-rwxr-xr-xreport/metadata.yaml4
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diff --git a/report/metadata.yaml b/report/metadata.yaml
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@@ -17,8 +17,10 @@ abstract: |
On the other hand LDA, Linear Discriminant Analysis, allows to perform a very reliable classification,
generating a discriminative subspace, in which the separation between classes is easier to recognize.
- In the final part we will analyze the benefits of using a combined version of the two methods using FIsherfaces.
+ In the final part we will analyze the benefits of using a combined version of the two methods using Fisherfaces.
As we will see, the PCA-LDA ensemble will obtain much more accurate results with a very high speed of computation.
+ The data used includes 52 classes with 10 samples each. The number of features is 2576(since the size of the pictures is 46x56).
+
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