When Is ''Nearest Neighbor'' Meaningful?

Basic local alignment search tool

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Color indexing

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Multivariate Density Estimation

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Texture features for browsing and retrieval of image data

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Adaptive Control Processes: A Guided Tour

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Efficient similarity search in sequence databases

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Visual learning and recognition of 3-d objects from appearance

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Using discriminant eigenfeatures for image retrieval

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Efficient and effective Querying by Image Content

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V. Adaptive Control Processes

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Photobook: tools for content-based manipulation of image databases

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The SR-tree

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Similarity indexing with the SS-tree

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An optimal algorithm for approximate nearest neighbor searching

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The TV-tree: An index structure for high-dimensional data

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A cost model for nearest neighbor search in high-dimensional data space

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Distance-based indexing for high-dimensional metric spaces

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Optimal Expected-Time Algorithms for Closest Point Problems

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A simple algorithm for nearest neighbor search in high dimensions

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Beyond uniformity and independence

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Estimating the Selectivity of Spatial Queries Using the 'Correlation' Fractal Dimension

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Fast parallel similarity search in multimedia databases

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Recognition and positioning of rigid objects using algebraic moment invariants

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Approximate closest-point queries in high dimensions

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Feature-based retrieval of similar shapes

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Accounting for boundary effects in nearest neighbor searching

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Nearest neighbor searching and applications

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Analysis of n-Dimensional Quadtrees using the Hausdorff Fractal Dimension

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Image retrieval based on multidimensional feature properties

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Automated analysis and exploration of image databases: Results, progress, and challenges

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Data mining: concepts and techniques

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Survey of Clustering Algorithms

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The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

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Locality-sensitive hashing scheme based on p-stable distributions

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Product Quantization for Nearest Neighbor Search

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A Survey of Clustering Data Mining Techniques

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DBSCAN Revisited, Revisited

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A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography

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On the Surprising Behavior of Distance Metrics in High Dimensional Space

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Graph based anomaly detection and description: a survey

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Discovering similar multidimensional trajectories

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SMOTE for high-dimensional class-imbalanced data

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Clustering high-dimensional data

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Outlier detection for high dimensional data

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Discovering cluster-based local outliers

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Principles of Data Mining

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Machine learning in wireless sensor networks: Algorithms, strategies, and applications

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The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

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Angle-based outlier detection in high-dimensional data

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A survey on unsupervised outlier detection in high‐dimensional numerical data

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Searching in high-dimensional spaces

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Defining cell types and states with single-cell genomics

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State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

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Data Clustering

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The Curse of Dimensionality in Data Mining and Time Series Prediction

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Efficient k-nearest neighbor graph construction for generic similarity measures

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Feature bagging for outlier detection

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Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications

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On k -anonymity and the curse of dimensionality

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The properties of high-dimensional data spaces: implications for exploring gene and protein expression data

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iDistance

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Recent advances in visual and infrared face recognition—a review

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Identification of cell types from single-cell transcriptomes using a novel clustering method

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Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data

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Finding generalized projected clusters in high dimensional spaces

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The Challenges of Clustering High Dimensional Data

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K-means properties on six clustering benchmark datasets

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Efficient Water Quality Prediction Using Supervised Machine Learning

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Clustering by pattern similarity in large data sets

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Uncovering the structure of self-regulation through data-driven ontology discovery

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Fast Discriminative Visual Codebooks using Randomized Clustering Forests

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A comprehensive survey of anomaly detection techniques for high dimensional big data

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Unified Video Annotation via Multigraph Learning

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Unsupervised Learning Methods for Molecular Simulation Data

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The pyramid-technique

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Feature selection for clustering - a filter solution

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Eliminating Fuzzy Duplicates in Data Warehouses

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HiCS: High Contrast Subspaces for Density-Based Outlier Ranking

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Water quality prediction using machine learning models based on grid search method

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Conditional Anomaly Detection

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Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods

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An Investigation of Practical Approximate Nearest Neighbor Algorithms

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Efficient similarity search and classification via rank aggregation

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Outlier mining in large high-dimensional data sets

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Multi-omics integration in biomedical research – A metabolomics-centric review

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Clustering Algorithms in Biomedical Research: A Review

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EEG-based workers' stress recognition at construction sites

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Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering

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The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering

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Toward a Quantitative Survey of Dimension Reduction Techniques

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The Concentration of Fractional Distances

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Classifying large data sets using SVMs with hierarchical clusters

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Locality sensitive hashing: A comparison of hash function types and querying mechanisms

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Injecting utility into anonymized datasets

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Independent quantization: an index compression technique for high-dimensional data spaces

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Randomized Clustering Forests for Image Classification

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Machine Learning–Based Failure Mode Recognition of Circular Reinforced Concrete Bridge Columns: Comparative Study

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Adaptive dimension reduction using discriminant analysis and K -means clustering

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Neural Decoding of EEG Signals with Machine Learning: A Systematic Review

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Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?

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RNN-DBSCAN: A Density-Based Clustering Algorithm Using Reverse Nearest Neighbor Density Estimates

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A brief survey of machine learning methods and their sensor and IoT applications

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Toward Intelligent Vehicular Networks: A Machine Learning Framework

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Aggregate nearest neighbor queries in spatial databases

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Dynamic query tools for time series data sets: Timebox widgets for interactive exploration (2004)

Hochheiser, H., & Shneiderman, B. (2005) · University Libraries (University of Maryland) · Cited by 268 · see citing works

Group nearest neighbor queries

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Simultaneous Feature Selection and Support Vector Machine Optimization Using the Grasshopper Optimization Algorithm

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Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection

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Latest developments in gear defect diagnosis and prognosis: A review

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Space-time tradeoffs for approximate nearest neighbor searching

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Evaluating clustering in subspace projections of high dimensional data

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Statistical stability indices for LIME: Obtaining reliable explanations for machine learning models

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Dynamic Query Tools for Time Series Data Sets: Timebox Widgets for Interactive Exploration

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