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k-medoids

OpenAlex ID: C65932786
A simple and fast algorithm for K-medoids clustering
2008 · Hae-Sang Park, Chi-Hyuck Jun · Expert Systems with Applications · 2,186
Genetic algorithm-based clustering technique
2000 · Ujjwal Maulik, Sanghamitra Bandyopadhyay · Pattern Recognition · 1,471
Cluster center initialization algorithm for K-means clustering
2004 · Shehroz S. Khan, Amir Ahmad · Pattern Recognition Letters · 708
Analysis of K-Means and K-Medoids Algorithm For Big Data
2016 · Preeti Arora, Deepali, et al. · Procedia Computer Science · 568
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A Clustering Method Based on K-Means Algorithm
2012 · Youguo Li, Haiyan Wu · Physics Procedia · 453
A modified version of the K-means algorithm with a distance based on cluster symmetry
2001 · Mu-Chun Su, Chien-Hsing Chou · IEEE Transactions on Pattern Analysis and Machine Intelligence · 392
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms
2019 · Erich Schubert, Peter J. Rousseeuw · Lecture notes in computer science · 369
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An efficient enhanced k-means clustering algorithm
2006 · A. M. Fahim, A. M. Salem, et al. · Journal of Zhejiang University. Science A · 350
A new partitioning around medoids algorithm
2003 · Mark Van der Laan, Katherine Pollard, et al. · Journal of Statistical Computation and Simulation · 304
Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method
2016 · Yimin Chen, Xiaoping Liu, et al. · Landscape and Urban Planning · 274
Computational Complexity between K-Means and K-Medoids Clustering Algorithms for Normal and Uniform Distributions of Data Points
2010 · Velmurugan · Journal of Computer Science · 258
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Two improved k-means algorithms
2017 · Shyr-Shen Yu, Shao-Wei Chu, et al. · Applied Soft Computing · 210
An efficient Fuzzy C-Means clustering algorithm
2002 · Ming-Chuan Hung, Don-Lin Yang · Proceedings · 201
A new algorithm for initial cluster centers in k-means algorithm
2011 · Murat Erisoglu, Nazif Calis, et al. · Pattern Recognition Letters · 196
Modified global -means algorithm for minimum sum-of-squares clustering problems
2008 · Adil M. Bagirov · Pattern Recognition · 194
k-means based load estimation of domestic smart meter measurements
2016 · Ali Al-Wakeel, Jianzhong Wu, et al. · Applied Energy · 188
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A Review of K-mean Algorithm
2013 · Jyoti Yadav, Monika Sharma · 159
An Affinity Propagation-Based Self-Adaptive Clustering Method for Wireless Sensor Networks
2019 · Jin Wang, Yu Gao, et al. · Sensors · 156
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Combining PSO and k-means to enhance data clustering
2008 · Alireza Ahmadyfard, Hamidreza Modares · International Symposium on Telecommunications · 142
An improved K-medoids algorithm based on step increasing and optimizing medoids
2017 · Donghua Yu, Guojun Liu, et al. · Expert Systems with Applications · 124
A review and evaluation of elastic distance functions for time series clustering
2023 · Christopher Holder, Matthew Middlehurst, et al. · Knowledge and Information Systems · 116
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A New and Efficient K-Medoid Algorithm for Spatial Clustering
2005 · Qiaoping Zhang, Isabelle Couloigner · Lecture notes in computer science · 115
A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering
2019 · Jiangzhou Deng, Junpeng Guo, et al. · Knowledge-Based Systems · 111
K-Medoids Clustering Using Partitioning Around Medoids for Performing Face Recognition
2014 · Aruna Bhat · International Journal of Soft Computing Mathematics and Control · 93
Ranked k-medoids: A fast and accurate rank-based partitioning algorithm for clustering large datasets
2012 · Seyed Mohammad Razavi Zadegan, Mehdi Mirzaie, et al. · Knowledge-Based Systems · 85
Works count: 1,093
Citation count: 14,940
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