Mrmr+ and Cfs+ feature selection algorithms for high-dimensional data.

Adrian Pino Angulo Kilho Shin

Published in: Appl. Intell. (2019)

Keyphrases

high dimensional data
feature selection algorithms
data sets
feature selection
dimensionality reduction
nearest neighbor
high dimensionality

high dimensional
low dimensional
subspace clustering
data points
data analysis
linear discriminant analysis
original data

feature set
data distribution
missing values
selection algorithm
selected features
real world
gene expression data

input space
input data
informative features
clustering high dimensional data
learning models
training data
small sample size