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Also, feature-pairs having high correlation values are combinations of different types of features in the context of strong and weak correlations; that is, it could be a pair of strongly correlated features; a strongly correlated feature & a weakly correlated feature; or a pair of a weakly correlated features.
So when we measure the distance (correlation) between two subjects based on 2D space, these highly correlated feature will contribute less than they do at the original feature space.
The information collected from the beginning up to each monitoring point is modeled by the orthogonal function approximation and PCA to extract the correlated feature.
For a highly correlated feature pair (higher than a threshold), the feature with lower MI score is considered redundant and removed from the feature subset to prevent multicollinearity.
In these cases, we transferred the biological meaning from a strongly correlated feature.
Pearson correlation coefficients between each pair of significant skin features were investigated to determine a highly correlated feature set.
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These visualizations indicate correlated features, namely Global active power and Global intensity are strongly correlated (identical component planes), while exhibiting some degree of inverse correlation to Voltage.
Briefly, it maps correlated features into linearly uncorrelated features.
Since the set contains a number of highly correlated features we first reduced the set by removing 13 features such that high correlations between features were prevented.
We correlated features of MetS with TLR2 and TLR4.
Instead we project feature vectors into the 2D space (MDS), which help to attenuate effects of highly correlated features.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com