Pages that link to "Item:Q1021991"
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The following pages link to Robust centroid based classification with minimum error rates for high dimension, low sample size data (Q1021991):
Displaying 10 items.
- ``Virus hunting'' using radial distance weighted discrimination (Q262396) (← links)
- Significance analysis of high-dimensional, low-sample size partially labeled data (Q286481) (← links)
- Robust centroid method (Q1010410) (← links)
- Robust nearest-neighbor methods for classifying high-dimensional data (Q1043737) (← links)
- A \(U\)-classifier for high-dimensional data under non-normality (Q1661350) (← links)
- Partial least squares classification for high dimensional data using the PCOUT algorithm (Q2255855) (← links)
- Using visual statistical inference to better understand random class separations in high dimension, low sample size data (Q2354730) (← links)
- Optimal properties of centroid-based classifiers for very high-dimensional data (Q2380097) (← links)
- Predictive performances of implicitly and explicitly robust classifiers on high dimensional data (Q4566316) (← links)
- A survey of high dimension low sample size asymptotics (Q4639812) (← links)
