Weaning outcome prediction from heterogeneous time series using Normalized Compression Distance and Multidimensional Scaling.
J. M. Lillo-CastellanoI. Mora-JiménezRicardo Santiago-MozosJosé Luis Rojo-ÁlvarezJulio Ramiro-BargueñoA. Algora-WeberPublished in: Expert Syst. Appl. (2013)
Keyphrases
- multidimensional scaling
- euclidean distance
- outcome prediction
- geodesic distance
- low dimensional
- distance measure
- distance transform
- similarity measure
- vector space
- breast cancer
- genomic data
- principal component analysis
- dimensionality reduction
- distance function
- kernel pca
- cluster analysis
- distance metric
- data points
- latent semantic indexing
- machine learning
- shortest path
- decision trees