Interpolative multidimensional scaling techniques for the identification of clusters in very large sequence sets.
Adam HughesYang RuanSaliya EkanayakeSeung-Hee BaeQunfeng DongMina RhoJudy QiuGeoffrey C. FoxPublished in: BMC Bioinform. (2012)
Keyphrases
- multidimensional scaling
- cluster analysis
- low dimensional
- clustering algorithm
- distance matrix
- latent structure
- data points
- kernel pca
- data clustering
- euclidean distance
- vector space
- input data
- dimensionality reduction
- manifold learning
- principal component analysis
- nearest neighbor
- data analysis
- dimension reduction
- k means