Knowledge Discovery from Complex High Dimensional Data.

Sangkyun Lee Andreas Holzinger

Published in: Solving Large Scale Learning Tasks (2016)

Keyphrases

high dimensional data
knowledge discovery
complex data
low dimensional
dimensionality reduction
data analysis
nearest neighbor
high dimensional
high dimensions
high dimensionality

subspace clustering
data sets
similarity search
data distribution
data points
manifold learning
linear discriminant analysis
dimension reduction
clustering high dimensional data

nonlinear dimensionality reduction
original data
input space
pattern recognition
databases
variable selection
data mining
sparse representation
high dimensional datasets

high dimensional data sets
lower dimensional
dimensional data
high dimensional spaces
small sample size
variable weighting
outlier detection
multi dimensional
computer vision