A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model.
Marine BruneauThierry MottetSerge MoulinMaël KerbiriouFranz ChoulyStéphane ChrétienChristophe GuyeuxPublished in: Comput. Biol. Medicine (2018)
Keyphrases
- gaussian mixture model
- laplacian eigenmaps
- mixture model
- clustering algorithm
- k means
- clustering method
- nucleotide sequences
- feature vectors
- expectation maximization
- feature space
- em algorithm
- gaussian mixture
- manifold learning
- data clustering
- kernel pca
- sequence data
- cluster analysis
- maximum likelihood
- low dimensional
- distance metric
- feature extraction
- data sets
- high dimensionality
- pattern recognition
- molecular biology
- learning algorithm
- image segmentation
- dna sequences
- supervised learning
- nonlinear dimensionality reduction