Questions tagged [feature-reduction]

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Correlation Matrix for non-numeric features

Currently, I have dataset with numeric as well non-numeric attributes. I am trying to remove the redundant features in the dataset using R Programming Languages. Note: Non-numeric attributes cannot ...
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0answers
14 views

Heuristics, methods to speed up searches over subsets of big set (combinatorially NP hard probably)

I have a reasonable-sized set of size N (say 10 000 objects) in which I am searching for groups of compatible elements. Meaning that I have a function ...
0
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2answers
36 views

Does it make sense to randomly select features as a baseline?

In my paper, I am saying that the accuracy of classification is $x\%$ when using the top N features. My supervisor thinks that we should capture the classification accuracy when using N randomly ...
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0answers
108 views

XGBoost feature significance and feature importance

In a regression model it is possible to judge at a specified significance level (often alpha = 5%) whether a variable has a significant influence on the target attribute. With XGBoost, you can use ...
2
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0answers
28 views

Reduce number of vectors in dataset to achieve the “same average dimensions result”?

I have many tests (rows), each with a large set of 3D vectors (features/cols). Each vector complies: Xn + Yn + Zn = 1 Simply averaging all components ...
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19 views

Does it exist feature selection/reduction techniques in $O(n \cdot d)$?

I'm curious to know if feature selection and/or feature reduction techniques exist, which are linear on number of data $n$ and on number of dimensions $d$. References and source code are very welcome....