ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings.
Hyeon JeonAeri ChoJinhwa JangSoohyun LeeJake HyunHyung-Kwon KoJaemin JoJinwook SeoPublished in: CoRR (2023)
Keyphrases
- dimensionality reduction
- low dimensional
- high dimensional data
- manifold learning
- high dimensional
- feature extraction
- pattern recognition
- pattern recognition and machine learning
- principal component analysis
- programming language
- random projections
- open source
- feature selection
- lower dimensional
- low dimensional spaces
- dimensionality reduction methods
- high dimensionality
- linear discriminant analysis
- reliability analysis
- sparse representation
- principal components
- linear dimensionality reduction
- data representation
- development tools
- supervised dimensionality reduction
- neural network
- input space
- graphical user interface
- euclidean distance
- data points
- metric learning
- open source software
- object oriented programming
- metric space
- high dimensional spaces
- dimension reduction
- nonlinear dimensionality reduction
- vector space
- pairwise
- feature space
- data sets