Visualizing clusters if T>2: Plot the points, color coded according to cluster membership, on the 1st principal components plane. This 2D view is “most representative” of the data, in the sense that it maximizes the - Color analysis - Document - PDFSEARCH.IO

First Page	Meta Content
	Visualizing clusters if T>2: Plot the points, color coded according to cluster membership, on the 1st principal components plane. This 2D view is “most representative” of the data, in the sense that it maximizes the Add to Reading List Document Date: 2002-02-19 10:26:07 Open Document File Size: 23,47 KB Share Result on Facebook Position representative / / PublishedMedium Molecular Biology / / Technology DNA Chip / Bioinformatics / Hybridization / gene expression / / SocialTag Machine learning Cluster analysis Principal component analysis Singular value decomposition Dimension reduction Consensus clustering Statistics Multivariate statistics Data analysis

Visualizing clusters if T>2: Plot the points, color coded according to cluster membership, on the 1st principal components plane. This 2D view is “most representative” of the data, in the sense that it maximizes the Add to Reading List