Pages that link to "Item:Q2000734"

The following pages link to Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models (Q2000734):

Displaying 20 items.

• On some transformations of high dimension, low sample size data for nearest neighbor classification (Q255361) (← links)
• Bias-corrected support vector machine with Gaussian kernel in high-dimension, low-sample-size settings (Q2023463) (← links)
• Kick-one-out-based variable selection method for Euclidean distance-based classifier in high-dimensional settings (Q2034468) (← links)
• Consistent variable selection criteria in multivariate linear regression even when dimension exceeds sample size (Q2041755) (← links)
• Hypothesis tests for high-dimensional covariance structures (Q2042528) (← links)
• Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings (Q2048123) (← links)
• Geometric classifiers for high-dimensional noisy data (Q2062792) (← links)
• Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data (Q2068931) (← links)
• Double data piling leads to perfect classification (Q2074331) (← links)
• Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model (Q2329874) (← links)
• Semiparametric estimation of the high-dimensional elliptical distribution (Q2692920) (← links)
• Median-Based Classifiers for High-Dimensional Data (Q3069891) (← links)
• Predictive performances of implicitly and explicitly robust classifiers on high dimensional data (Q4566316) (← links)
• (Q5011468) (← links)
• A classifier under the strongly spiked eigenvalue model in high-dimension, low-sample-size context (Q5077372) (← links)
• Simultaneous testing of the mean vector and covariance matrix among <i>k</i> populations for high-dimensional data (Q5079065) (← links)
• Robust support vector machine for high-dimensional imbalanced data (Q5082626) (← links)
• Asymptotic properties of multiclass support vector machine under high dimensional settings (Q6562746) (← links)
• Statistical inference under the strongly spiked eigenvalue model (Q6601514) (← links)
• Test for high-dimensional outliers with principal component analysis (Q6670084) (← links)