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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Efficient and effective Querying by Image Content

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V. Adaptive Control Processes

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On the "dimensionality curse" and the "self-similarity blessing"

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An effective and efficient algorithm for high-dimensional outlier detection

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The onion technique

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An Empirical Study of Distance Metrics for k-Nearest Neighbor Algorithm

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MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library

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MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering

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The hybrid tree: an index structure for high dimensional feature spaces

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Assessment of cracks on concrete bridges using image processing supported by laser scanning survey

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OP-cluster: clustering by tendency in high dimensional space

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Rotational dynamics reduce interference between sensory and memory representations

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Classification is a Strong Baseline for Deep Metric LearningPreprint

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Machine Learning in Compiler Optimization

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Approaching the skyline in Z order

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STRIPES

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A comparative study of the svm and k-nn machine learning algorithms for the diagnosis of respiratory pathologies using pulmonary acoustic signals

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Deep Learning on Small Datasets without Pre-Training using Cosine Loss

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k -means projective clustering

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Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning

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Multi-class Alzheimer's disease classification using image and clinical features

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Failure risk analysis of pipelines using data-driven machine learning algorithms

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Autocorrelation-based fuzzy clustering of time series

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Clustering high dimensional data

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Illumination invariant face recognition using thermal infrared imagery

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Supporting ranked Boolean similarity queries in MARS

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Efficient Non-Parametric Function Induction in Semi-Supervised LearningPreprint

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Chemoinformatic Classification Methods and their Applicability Domain

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A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images

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Unsupervised User Stance Detection on Twitter

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Approximate Nearest Neighbor Search by Residual Vector Quantization

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K-Nearest Neighbor Finding Using MaxNearestDist

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Cold-start Active Learning through Self-supervised Language Modeling

Yuan, M., Lin, H.-T., & Boyd-Graber, J. L. (2020) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2020.emnlp-main.637 · Cited by 191

Training data selection for cross-project defect prediction

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Ontology-based Text Document Clustering.

Staab, S., & Andreas Hotho, A. (2002) · Künstliche Intelligenz · Cited by 155

Similarity search without tears: the OMNI-family of all-purpose access methods

Filho, R. F. S., Traina, A. J. M., Traina, C., & Faloutsos, C. (2002) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2001.914877 · Cited by 155

One class random forests

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A survey on enhanced subspace clustering

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Avoiding common pitfalls when clustering biological data

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Real-time trip information service for a large taxi fleet

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A Hamming distance based binary particle swarm optimization (HDBPSO) algorithm for high dimensional feature selection, classification and validation

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Forest variable estimation using a high-resolution digital surface model

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Hashing-Based Scalable Remote Sensing Image Search and Retrieval in Large Archives

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An evaluation of descriptors for large-scale image retrieval from sketched feature lines

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FINDIT: a fast and intelligent subspace clustering algorithm using dimension voting

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A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization—Part I

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LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks

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Peer-to-peer spatial queries in sensor networks

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PAC nearest neighbor queries: Approximate and controlled search in high-dimensional and metric spaces

Ciaccia, P., & Patella, M. (2002) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2000.839417 · Cited by 138

Adaptation in Convolutionally Coded MIMO-OFDM Wireless Systems Through Supervised Learning and SNR Ordering

Daniels, R. C., Caramanis, C., & Heath, R. W. (2009) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2009.2029693 · Cited by 137

Privacy-Preserving Data Publishing

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Quality Metrics for Information Visualization

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Intrusion Detection Systems: A Cross-Domain Overview

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A Similarity-Based Ranking Method for Hyperspectral Band Selection

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Mining coherent subgraphs in multi-layer graphs with edge labels

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Content-based text mapping using multi-dimensional projections for exploration of document collections

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Prediction of Water Quality Classification of the Kelantan River Basin, Malaysia, Using Machine Learning Techniques

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Is the k -NN classifier in high dimensions affected by the curse of dimensionality?

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Predicting student outcomes using digital logs of learning behaviors: Review, current standards, and suggestions for future work

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A survey of browsing models for content based image retrieval

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One-class kernel subspace ensemble for medical image classification

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Improved sqrt-cosine similarity measurement

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A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes

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Single-Cell Transcriptomics Bioinformatics and Computational Challenges

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Efficient and accurate nearest neighbor and closest pair search in high-dimensional space

Tao, Y., Yi, K., Sheng, C., & Kalnis, P. (2010) · ACM Transactions on Database Systems · doi:10.1145/1806907.1806912 · Cited by 123

Document clustering via adaptive subspace iteration

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Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering

Baptista, M. L., Henriques, E. M. P., de Medeiros, I. P., Malere, J. P., Nascimento, C. L., & Prendinger, H. (2018) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2018.01.017 · Cited by 120

Enhancing semi-supervised clustering

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The Omni-family of all-purpose access methods: a simple and effective way to make similarity search more efficient

Traina, C., Filho, R. F. S., Traina, A. J. M., Vieira, M. R., & Faloutsos, C. (2006) · The VLDB Journal · doi:10.1007/s00778-005-0178-0 · Cited by 119

MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives

Nakamura, T., Imamura, M., Mercer, R., & Keogh, E. (2020) · Proceedings · doi:10.1109/icdm50108.2020.00147 · Cited by 118

On the geometry of similarity search: Dimensionality curse and concentration of measure

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Improving the ranking quality of medical image retrieval using a genetic feature selection method

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Survey on Exact kNN Queries over High-Dimensional Data Space

Ukey, N., Yang, Z., Li, B., Zhang, G., Hu, Y., & Zhang, W. (2023) · Sensors · doi:10.3390/s23020629 · Cited by 116

Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based Systems

MOSQUERA-LOPEZ, C. M., Agaian, S. С., Hoyos, A. V., & Thompson, I. M. (2014) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2014.2340401 · Cited by 116

Intrinsic Dimension Estimation: Relevant Techniques and a Benchmark Framework

Campadelli, P., Casiraghi, E., Ceruti, C., & Rozza, A. (2015) · Mathematical Problems in Engineering · doi:10.1155/2015/759567 · Cited by 125

A novel version of k nearest neighbor: Dependent nearest neighbor

Ertuğrul, Ö. F., & Tagluk, M. E. (2017) · Applied Soft Computing · doi:10.1016/j.asoc.2017.02.020 · Cited by 115

A comparison of vector symbolic architectures

Schlegel, K., Neubert, P., & Protzel, P. (2021) · Artificial Intelligence Review · doi:10.1007/s10462-021-10110-3 · Cited by 115

Automatic malware categorization using cluster ensemble

Ye, Y., Li, T., Chen, Y., & Jiang, Q. (2010) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1835804.1835820 · Cited by 114

Sliding Window-Based Fault Detection From High-Dimensional Data Streams

Zhang, L., Lin, J., & Karim, R. (2016) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2016.2585566 · Cited by 114

Social multimedia: highlighting opportunities for search and mining of multimedia data in social media applications

Naaman, M. (2010) · Multimedia Tools and Applications · doi:10.1007/s11042-010-0538-7 · Cited by 113

Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation

Xu, X., Hospedales, T. M., & Gong, S. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46475-6_22 · Cited by 113

A Survey of Techniques for the Identification of Mobile Phones Using the Physical Fingerprints of the Built-In Components

Baldini, G., & Steri, G. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2694487 · Cited by 115

Approximate similarity search in metric spaces using inverted files

Amato, G. M., & Savino, P. (2008) · Scalable Information Systems · doi:10.4108/icst.infoscale2008.3486 · Cited by 112

Fuzzy clustering of time series in the frequency domain

Maharaj, E. A., & D’Urso, P. (2010) · Information Sciences · doi:10.1016/j.ins.2010.11.031 · Cited by 111

PerfExplorer: A Performance Data Mining Framework For Large-Scale Parallel Computing

Huck, K., & Malony, A. D. (2005) · ACM/IEEE Conference on Supercomputing (SC) · doi:10.1109/sc.2005.55 · Cited by 111

Finding non-redundant, statistically significant regions in high dimensional data

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A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems

Pazho, A. D., Noghre, G. A., Purkayastha, A. A., Vempati, J., Martin, O., & Tabkhi, H. (2023) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2023.3282898 · Cited by 117

Approximate nearest neighbor searching in multimedia databases

Ferhatosmanoğlu, H., Tuncel, E., Agrawal, D., & Abbadi, A. E. (2002) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2001.914864 · Cited by 110

Rapid seismic damage-state assessment of steel moment frames using machine learning

Nguyen, H. D., LaFave, J. M., Lee, Y., & Shin, M. (2021) · Engineering Structures · doi:10.1016/j.engstruct.2021.113737 · Cited by 109

Experiments in Parallel Clustering with DBSCAN

Arlia, D., & Coppola, M. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44681-8_46 · Cited by 109

Combining partitional and hierarchical algorithms for robust and efficient data clustering with cohesion self-merging

Lin, C.-R., & Chen⋆, M.-S. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.21 · Cited by 109

The pyramid-technique

Berchtold, S., Böhm, C., & Kriegal, H.-P. (1998) · ACM SIGMOD Record · doi:10.1145/276305.276318 · Cited by 109

The onion technique

Chang, Y., Bergman, L. D., Castelli, V., Li, C., Lo, M.-L., & Smith, J. R. (2000) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/342009.335433 · Cited by 109

A descriptor for large scale image retrieval based on sketched feature lines

Eitz, M., Hildebrand, K., Boubekeur, T., & Alexa, M. (2009) · Sketch Based Interfaces and Modeling · doi:10.1145/1572741.1572747 · Cited by 108

Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms

Günnemann, S., Färber, I., Boden, B., & Seidl, T. (2010) · Proceedings · doi:10.1109/icdm.2010.95 · Cited by 108

Ontology-based text clustering

Andreas Hotho, A., Maedche, A., & Staab, S. (2001) · doi:10.5445/ir/33632001 · Cited by 108

Mining Outliers with Ensemble of Heterogeneous Detectors on Random Subspaces

Nguyen, H. V., Ang, H. H., & Gopalkrishnan, V. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12026-8_29 · Cited by 108

Exponential smoothing weighted correlations

Pozzi, F., Matteo, T. D., & Aste, T. (2012) · The European Physical Journal B · doi:10.1140/epjb/e2012-20697-x · Cited by 108

On the estimation of pareto front and dimensional similarity in many-objective evolutionary algorithm

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MaPle: a fast algorithm for maximal pattern-based clustering

Pei, J., Zhang, X., Cho, M., Wang, H., & Yu, P. S. (2004) · Proceedings · doi:10.1109/icdm.2003.1250928 · Cited by 107

Deflating the dimensionality curse using multiple fractal dimensions

Pagel, B.-U., Korn, F. R., & Faloutsos, C. (2002) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2000.839457 · Cited by 107

Efficient top- k aggregation of ranked inputs

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When Is Nearest Neighbors Indexable?

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Theory of nearest neighbors indexability

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Study on dimensionality curse in the nearest neighbor queries based on statistics

Bo, S., Li, S., & Chong-guang, Z. (2006) · Jisuanji gongcheng

Two algorithms for nearest-neighbor search in high dimensions

Kleinberg, J. M. (1997) · ACM Symposium on Theory of Computing (STOC) · doi:10.1145/258533.258653 · Cited by 347

Density-based indexing for approximate nearest-neighbor queries

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