Clustering biological data with SOMs: On topology preservation in non-linear dimensional reduction.
Diego H. MiloneGeorgina StegmayerLaura KamenetzkyMariana G. LopezFernando CarrariPublished in: Expert Syst. Appl. (2013)
Keyphrases
- biological data
- topology preservation
- self organizing maps
- topology preserving
- dimensional reduction
- high throughput
- competitive learning
- unsupervised learning
- statistical methods
- data analysis
- microarray data
- principal component analysis
- clustering method
- k means
- knowledge discovery
- neural network
- clustering algorithm
- data sources
- cluster analysis
- machine learning
- dimensionality reduction
- data integration
- high dimensional data
- statistical analysis
- data clustering
- dimensional data
- locally linear embedding
- data points
- high dimensionality
- feature space
- face recognition
- image segmentation
- semi supervised
- data management