The following pages link to SigClust (Q24106):
Displaying 18 items.
- ``Virus hunting'' using radial distance weighted discrimination (Q262396) (← links)
- DESPOTA: dendrogram slicing through a pemutation test approach (Q269551) (← links)
- Significance analysis of high-dimensional, low-sample size partially labeled data (Q286481) (← links)
- On the border of extreme and mild spiked models in the HDLSS framework (Q413760) (← links)
- A simple method for screening variables before clustering microarray data (Q961706) (← links)
- Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings (Q2048123) (← links)
- Three-way clustering of multi-tissue multi-individual gene expression data using semi-nonnegative tensor decomposition (Q2318675) (← links)
- Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data (Q3069864) (← links)
- (Q4576278) (← links)
- Clustering and classification problems in genetics through <i>U</i>-statistics (Q4960652) (← links)
- Macros to conduct tests of multimodality in SAS (Q4960763) (← links)
- Significance test of clustering under high dimensional setting with applications to cancer data (Q4960768) (← links)
- Composite large margin classifiers with latent subclasses for heterogeneous biomedical data (Q4970183) (← links)
- <i>U</i>-Statistical Inference for Hierarchical Clustering (Q5066424) (← links)
- Bootstrap method to evaluate tightness of clusters with application to the Korean standard occlusion study (Q5219234) (← links)
- (Q5744811) (← links)
- Large scale analysis of generalization error in learning using margin based classification methods (Q5857429) (← links)
- Large dimensional analysis of general margin based classification methods (Q5860319) (← links)
