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Keyword

elbow method

Description: The elbow method is a heuristic for selecting a cluster count by identifying where adding clusters yields diminishing improvement in a clustering objective.
Wikidata ID: wiki/Q25207606
OpenAlex ID: keywords/elbow-method
Cluster Analysis
1974 · Barry J. Everitt, Sabine Landau, et al. · 9,124
Integration K-Means Clustering Method and Elbow Method For Identification of The Best Customer Profile Cluster
2018 · M A Syakur, B K Khotimah, et al. · IOP Conference Series Materials Science and Engineering · 1,222
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Research on K-Value Selection Method of K-Means Clustering Algorithm
2019 · Chunhui Yuan, Haitao Yang · J — Multidisciplinary Scientific Journal · 855
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Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms
2005 · S. Salvador, P. Chan · Proceedings - International Conference on Tools with Artificial Intelligence, TAI · 709
A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm
2021 · Congming Shi, Bingtao Wei, et al. · EURASIP Journal on Wireless Communications and Networking · 443
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The Determination of Cluster Number at k-Mean Using Elbow Method and Purity Evaluation on Headline News
2018 · Dhendra Marutho, Sunarna Hendra Handaka, et al. · International Seminar on Application for Technology of Information and Communication (iSemantic) · 355
Determine the Number of Unknown Targets in Open World Based on Elbow Method
2020 · Fan Liu, Yong Deng · IEEE Transactions on Fuzzy Systems · 334
Improved the Performance of the K-Means Cluster Using the Sum of Squared Error (SSE) optimized by using the Elbow Method
2019 · Rena Nainggolan, Resianta Perangin-angin, et al. · Journal of Physics Conference Series · 302
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Cubic Clustering Criterion
1983 · Warren S. Sarle · SAS Institute eBooks · 301
Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification algorithm
2022 · Tao Yan, Shui-Long Shen, et al. · Journal of Rock Mechanics and Geotechnical Engineering · 205
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Introduction to the K-Means Clustering Algorithm Based on the Elbow Method
2020 · Mengyao Cui · 199
Stop using the elbow criterion for k-means and how to choose the number of clusters instead
2023 · Erich Schubert · ACM SIGKDD Explorations Newsletter · 170
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Effect of Distance Metrics in Determining K-Value in K-Means Clustering Using Elbow and Silhouette Method
2020 · Danny Matthew SAPUTRA, Danny Matthew SAPUTRA, et al. · 158
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An AUV-Assisted Data Gathering Scheme Based on Clustering and Matrix Completion for Smart Ocean
2020 · Mingfeng Huang, Kuan Zhang, et al. · IEEE Internet of Things Journal · 152
K-Means Clustering Optimization Using the Elbow Method and Early Centroid Determination Based on Mean and Median Formula
2020 · Edy Umargono, Jatmiko Endro Suseno, et al. · 145
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Customer profiling, segmentation, and sales prediction using AI in direct marketing
2023 · Mahmoud SalahEldin Kasem, Mohamed Hamada, et al. · Neural Computing and Applications · 141
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Determining The Appropiate Cluster Number Using Elbow Method for K-Means Algorithm
2020 · H Humaira, R Rasyidah · 123
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Combining eigenvalues and variation of eigenvectors for order determination
2016 · Wei Luo, Bing Li · Biometrika · 116
Analysis of Elbow, Silhouette, Davies-Bouldin, Calinski-Harabasz, and Rand-Index Evaluation on K-Means Algorithm for Classifying Flood-Affected Areas in Jakarta
2023 · Ilham Firman Ashari, Eko Dwi Nugroho, et al. · Journal of Applied Informatics and Computing · 108
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An Optimized Approach for Prostate Image Segmentation Using K‐Means Clustering Algorithm with Elbow Method
2021 · Rachid Sammouda, Ali El-Zaart · Computational Intelligence and Neuroscience · 101
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DEKCS: A Dynamic Clustering Protocol to Prolong Underwater Sensor Networks
2021 · Kenechi G. Omeke, Michael S. Mollel, et al. · IEEE Sensors Journal · 98
Optimal Cluster Analysis for Objective Regionalization of Seasonal Precipitation in Regions of High Spatial–Temporal Variability: Application to Western Ethiopia
2016 · Ying Zhang, Semu Moges, et al. · Journal of Climate · 88
Analisis Perbandingan Metode Elbow dan Silhouette pada Algoritma Clustering K-Medoids dalam Pengelompokan Produksi Kerajinan Bali
2019 · STMIK STIKOM Indonesia, Dewa Ayu Indah Cahya Dewi, et al. · Matrix Jurnal Manajemen Teknologi dan Informatika · 85
Faults Detection for Photovoltaic Field Based on K-Means, Elbow, and Average Silhouette Techniques through the Segmentation of a Thermal Image
2020 · Abdelilah Et-taleby, Mohammed Boussetta, et al. · International Journal of Photoenergy · 80
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Large-scale multiple criteria decision-making with missing values: project selection through TOPSIS-OPA
2020 · Amin Mahmoudi, Xiaopeng Deng, et al. · Journal of Ambient Intelligence and Humanized Computing · 79
Works count: 1,786
Citation count: 20,390
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