UMAP

swMATH34900MaRDI QIDQ46609

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Source code repository: https://github.com/lmcinnes/umap

Related Items (49)

Parametric UMAP Embeddings for Representation and Semisupervised Learning ⋮ Complex systems: features, similarity and connectivity ⋮ IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation ⋮ ReliefE: feature ranking in high-dimensional spaces via manifold embeddings ⋮ Generation of tubular and membranous shape textures with curvature functionals ⋮ A Scalable Unsupervised Framework for Comparing Graph Embeddings ⋮ End-to-end deep representation learning for time series clustering: a comparative study ⋮ Reduced multidimensional scaling ⋮ Fully Three-Dimensional Radial Visualization ⋮ A Distance-Preserving Matrix Sketch ⋮ Accelerating phase-field predictions via recurrent neural networks learning the microstructure evolution in latent space ⋮ Geometry and generalization: eigenvalues as predictors of where a network will fail to generalize ⋮ Positive Semi-definite Embedding for Dimensionality Reduction and Out-of-Sample Extensions ⋮ Hierarchical Bayesian text modeling for the unsupervised joint analysis of latent topics and semantic clusters ⋮ Local conformal autoencoder for standardized data coordinates ⋮ Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning ⋮ Multilingual Machine Translation: Deep Analysis of Language-Specific Encoder-Decoders ⋮ Metagenomics binning of long reads using read-overlap graphs ⋮ Data Analytics on Graphs Part I: Graphs and Spectra on Graphs ⋮ A Riemannian stochastic representation for quantifying model uncertainties in molecular dynamics simulations ⋮ On the stability of citation networks ⋮ Projection pursuit adaptation on polynomial chaos expansions ⋮ Propositionalization and embeddings: two sides of the same coin ⋮ A simple scalable linear time algorithm for horizontal visibility graphs ⋮ Unnamed Item ⋮ Manifold learning with arbitrary norms ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling ⋮ Eigenvectors from Eigenvalues Sparse Principal Component Analysis ⋮ Efficient large scale global optimization through clustering-based population methods ⋮ The influence of methylation status on a stochastic model of MGMT dynamics in glioblastoma: phenotypic selection can occur with and without a downshift in promoter methylation status ⋮ Analyzing the quality of local and global multidimensional projections using performance evaluation planning ⋮ Estimating cellular redundancy in networks of genetic expression ⋮ Joint optimization of an autoencoder for clustering and embedding ⋮ Conditional t-SNE: more informative t-SNE embeddings ⋮ Generalized penalty for circular coordinate representation ⋮ Applying data mining techniques to higher-dimensional Poincaré maps in the circular restricted three-body problem ⋮ Interpretable machine learning: fundamental principles and 10 grand challenges ⋮ An algorithm for computing phase space structures in chemical reaction dynamics using Voronoi tessellation ⋮ Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data ⋮ Discussion of “Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-seq Data” ⋮ Stochastic cluster embedding ⋮ Agglomerative likelihood clustering ⋮ A UMAP-based clustering method for multi-scale damage analysis of laminates ⋮ Dimensionality Reduction via Dynamical Systems: The Case of t-SNE ⋮ Optimized item selection to boost exploration for recommender systems

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