CFMDS: CUDA-based fast multidimensional scaling for genome-scale data

BMC Bioinformatics

Table 1 Benchmark datasets

Dataset	Source	Number of Attributes	Number of Instances	Pearson's Median Skewness Coefficient	Coefficient of Variation
IRIS	UCI ML Repository	4	150	0.34	0.64
Dermatology	UCI ML Repository	33	366	-0.61	0.42
M. musculus Microarray	GEO	4,000	2,000	0.94	1.08
S. cerevisiae Microarray	GEO	1,000	9,300	0.73	0.56
MNIST	MNIST	784	10,000	-0.13	0.14

UCI ML Repository is UCI Machine Learning Repository http://archive.ics.uci.edu/ml/datasets.html. GEO is Gene Expression Omnibus http://www.ncbi.nlm.nih.gov/geo/. MNIST is the MNIST Database of handwritten digits http://yann.lecun.com/exdb/mnist/. M. musculus Microarray is a modified dataset from Mus musculus microarrays in GEO and S. cerevisiae Microarray is a modified dataset from Saccharomyces cerevisiae microarrays in GEO. MNIST dataset is from scanned handwritten digit images of 28 × 28 pixels.

ISSN: 1471-2105