ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings.
Hyeon JeonAeri ChoJinhwa JangSoohyun LeeJake HyunHyung-Kwon KoJaemin JoJinwook SeoPublished in: IEEE VIS (Short Papers) (2023)
Keyphrases
- dimensionality reduction
- high dimensional data
- low dimensional
- manifold learning
- high dimensional
- open source
- principal component analysis
- high dimensionality
- data representation
- random projections
- dimensionality reduction methods
- principal components
- pattern recognition
- feature extraction
- input space
- programming language
- dimension reduction
- pattern recognition and machine learning
- linear discriminant analysis
- data points
- feature selection
- feature space
- metric learning
- lower dimensional
- sparse representation
- reliability analysis
- data sets
- euclidean distance
- locally linear embedding
- linear dimensionality reduction
- learning algorithm
- nonlinear dimensionality reduction
- highly reliable
- unsupervised feature selection
- machine learning