scientific article; zbMATH DE number 2080487
From MaRDI portal
Publication:4473286
zbMath1047.68038MaRDI QIDQ4473286
Daniel Keim, Charu C. Aggarwal, Alexander Hinneburg
Publication date: 4 August 2004
Full work available at URL: http://link.springer.de/link/service/series/0558/bibs/1973/19730420.htm
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Searching and sorting (68P10) Database theory (68P15) Information storage and retrieval of data (68P20)
Related Items (73)
Modeling and visualizing competitiveness in soccer leagues ⋮ Generation of tubular and membranous shape textures with curvature functionals ⋮ A survey of functional principal component analysis ⋮ Representation in the (artificial) immune system ⋮ A PROBABILISTIC ℓ1 METHOD FOR CLUSTERING HIGH-DIMENSIONAL DATA ⋮ Grassmannian Diffusion Maps--Based Dimension Reduction and Classification for High-Dimensional Data ⋮ Unnamed Item ⋮ BMS: An improved Dunn index for Document Clustering validation ⋮ A survey on enhanced subspace clustering ⋮ Fast stepwise regression based on multidimensional indexes ⋮ Deep neural networks for texture classification -- a theoretical analysis ⋮ Piecewise-Global Nonlinear Model Order Reduction for PDE-Constrained Optimization in High-Dimensional Parameter Spaces ⋮ A molecular-continuum multiscale model for inviscid liquid-vapor flow with sharp interfaces ⋮ Local generalized quadratic distance metrics: application to the \(k\)-nearest neighbors classifier ⋮ Topological biclustering ARTMAP for identifying within bicluster relationships ⋮ Quantifying the separability of data classes in neural networks ⋮ Experimental stability analysis of neural networks in classification problems with confidence sets for persistence diagrams ⋮ Ensemble extended belief rule-based systems with different similarity measures for classification problems ⋮ On the estimation of Pareto front and dimensional similarity in many-objective evolutionary algorithm ⋮ Interpoint Distance Classification of High Dimensional Discrete Observations ⋮ Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions ⋮ Distance geometry and data science ⋮ Pairs trading via unsupervised learning ⋮ Counterintuitive patterns on angles and distances between lattice points in high dimensional hypercubes ⋮ People mover's distance: class level geometry using fast pairwise data adaptive transportation costs ⋮ Stein variational gradient descent with learned direction ⋮ Unnamed Item ⋮ Assessing Basin Identification Methods for Locating Multiple Optima ⋮ Self-organising fuzzy logic classifier ⋮ Biconvex Clustering ⋮ An Integrated machine learning and DEA-predefined performance outcome prediction framework with high-dimensional imbalanced data ⋮ A patch in time saves nine: methods for the identification of localised dynamical behaviour and lifespans of coherent structures ⋮ Isovolumetric adaptations to space-filling design of experiments ⋮ Adaptive explicit kernel Minkowski weighted K-means ⋮ Nonparametric classification of high dimensional observations ⋮ Multidimensional scaling analysis of the solar system objects ⋮ Faster retrieval with a two-pass dynamic-time-warping lower bound ⋮ The small sample size problem of ICA: a comparative study and analysis ⋮ A novel two-archive matching-based algorithm for multi- and many-objective optimization ⋮ What Can Neuromorphic Event-Driven Precise Timing Add to Spike-Based Pattern Recognition? ⋮ On the efficient computation of robust regression estimators ⋮ A new class of metrics for learning on real-valued and structured data ⋮ Unsupervised Machine Learning on encrypted data ⋮ Constructing a High-Dimensional k NN-Graph Using a Z-Order Curve ⋮ Leveraged least trimmed absolute deviations ⋮ An incremental nonsmooth optimization algorithm for clustering using \(L_1\) and \(L_\infty\) norms ⋮ Unnamed Item ⋮ Variance-based adaptive sequential sampling for polynomial chaos expansion ⋮ Evaluating prior predictions of production and seismic data ⋮ Elastic translation invariant matching of trajectories ⋮ When is `nearest neighbour' meaningful: A converse theorem and implications ⋮ Unnamed Item ⋮ Subspace rotations for high-dimensional outlier detection ⋮ New instability results for high-dimensional nearest neighbor search ⋮ CCR: a combined cleaning and resampling algorithm for imbalanced data classification ⋮ Identifying and responding to outlier demand in revenue management ⋮ Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning ⋮ An adaptive image Euclidean distance ⋮ Non-parametric detection of meaningless distances in high dimensional data ⋮ A decomposition of the outlier detection problem into a set of supervised learning problems ⋮ A survey on unsupervised outlier detection in high‐dimensional numerical data ⋮ CASOS: a subspace method for anomaly detection in high dimensional astronomical databases ⋮ Exhaustivek-nearest-neighbour subspace clustering ⋮ On clustering uncertain and structured data with Wasserstein barycenters and a geodesic criterion for the number of clusters ⋮ Generalized penalty for circular coordinate representation ⋮ Kernel-based parameter estimation of dynamical systems with unknown observation functions ⋮ Nonhomogeneous Euclidean first-passage percolation and distance learning ⋮ Simplicial and minimal-variance distances in multivariate data analysis ⋮ Sampling hyperspheres via extreme value theory: implications for measuring attractor dimensions ⋮ Unnamed Item ⋮ Manifold reconstruction and denoising from scattered data in high dimension ⋮ On some transformations of high dimension, low sample size data for nearest neighbor classification ⋮ The remarkable simplicity of very high dimensional data: application of model-based clustering
This page was built for publication: