Classification and clustering for neuroinformatics: Assessing the efficacy on reverse-mapped NeuroNLP data using standard ML techniques.
Nidheesh MelethadathilPriya ChellaiahBipin NairShyam DiwakarPublished in: ICACCI (2015)
Keyphrases
- database
- data sets
- data points
- data collection
- raw data
- decision trees
- high dimensional data
- clustering analysis
- data reduction
- data sources
- data clustering
- data distribution
- model selection
- maximum likelihood
- feature selection
- feature vectors
- data analysis
- clustering algorithm
- synthetic datasets
- multidimensional data
- large scale data sets
- categorical data
- data quality
- original data
- simultaneous clustering
- neural network
- classification algorithm
- clustering method
- training samples
- machine learning
- classification accuracy
- k means
- high dimensional
- feature space
- training data