Clustering Method

Clustering methods aim to group similar data points together, revealing underlying structures and patterns within datasets. Current research emphasizes improving the scalability and efficiency of existing algorithms like k-means and k-medoids, particularly for high-dimensional and large datasets, with techniques such as whale optimization and granular-ball computing being explored. These advancements are crucial for various applications, including recommender systems, astronomy, financial crime detection, and even optimizing resource-constrained systems like embedded devices, by enabling efficient knowledge discovery from increasingly complex data.

Papers

May 29, 2022

GBC: An Efficient and Adaptive Clustering Algorithm Based on Granular-Ball
Shuyin Xia, Jiang Xie, Guoyin Wang
Clustering Method Granular Ball Density Based Clustering Adaptive Clustering

April 1, 2022

Analysis of Sparse Subspace Clustering: Experiments and Random Projection
Mehmet F. Demirel, Enrico Au-Yeung
General Analysis Optical Experiment K Mean Clustering Method Random Projection Sparse Subspace

March 21, 2022

Multispectral Satellite Data Classification using Soft Computing Approach
Purbarag Pathak Choudhury, Ujjal Kr Dutta, Dhruba Kr Bhattacharyya
Satellite Image Clustering Method Multispectral Image Remote Sensing Image Classification Object Identification Soft Computing

March 4, 2022

No More Than 6ft Apart: Robust K-Means via Radius Upper Bounds
Ahmed Imtiaz Humayun, Randall Balestriero, Anastasios Kyrillidis, Richard Baraniuk
Data Clustering K Mean Clustering Method Robust Clustering Feature Centroid Robustness Radius

March 2, 2022

Efficient Dynamic Clustering: Capturing Patterns from Historical Cluster Evolution
Binbin Gu, Saeed Kargar, Faisal Nawab
High Efficiency Complex Pattern Clustering Method Clustering Result Dynamic Clustering Efficient Clustering

February 18, 2022

An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems
Jinlei Zhang, Ergang Shan, Lixia Wu, Lixing Yang, Ziyou Gao, Haoyuan Hu
End to End Clustering Method Predict Then Optimize Predictive Clustering Optimal Assignment Express System

February 9, 2022

Application of the Affinity Propagation Clustering Technique to obtain traffic accident clusters at macro, meso, and micro levels
Fagner Sutel de Moura, Christine Tessele Nodari
Clustering Method Global Scale Micro Level Affinity Propagation Accident Hotspot

January 22, 2022

Topological data analysis and clustering
Dimitrios Panagopoulos
Machine Learning Topological Data Analysis Clustering Method Topology Problem Human Generated Idea

January 13, 2022

Improved Multi-objective Data Stream Clustering with Time and Memory Optimization
Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes
Time Matter Large Relevance Improvement Clustering Method Streaming Algorithm Memory Optimization

December 24, 2021

Optimal Variable Clustering for High-Dimensional Matrix Valued Data
Inbeom Lee, Siyi Deng, Yang Ning
Data Clustering Covariance Matrix Clustering Method Matrix Variate

November 30, 2021

Hierarchical clustering: visualization, feature importance and model selection
Luben M. C. Cabezas, Rafael Izbicki, Rafael B. Stern
Model Selection Feature Importance Interactive Visualization Multi Resolution Clustering Method Hierarchical Clustering Phylogenetic Tree Dendrogram Construction

November 16, 2021

November 11, 2021

Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees
Wen-Bo Xie, Zhen Liu, Jaideep Srivastava
Clustering Method Hierarchical Clustering Conventional Clustering Cluster Tree Minimum Spanning Tree

November 3, 2021

Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score
Luca Coraggio, Pietro Coretto
Practical Algorithm Different Cluster Clustering Method Unifying Theory Cluster Analysis Model Based Clustering Quadratic Discriminant Analysis Clustering Quality

Clustering Method

Papers

GBC: An Efficient and Adaptive Clustering Algorithm Based on Granular-Ball

Analysis of Sparse Subspace Clustering: Experiments and Random Projection

Multispectral Satellite Data Classification using Soft Computing Approach

No More Than 6ft Apart: Robust K-Means via Radius Upper Bounds

Efficient Dynamic Clustering: Capturing Patterns from Historical Cluster Evolution

An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems

Application of the Affinity Propagation Clustering Technique to obtain traffic accident clusters at macro, meso, and micro levels

Topological data analysis and clustering

Improved Multi-objective Data Stream Clustering with Time and Memory Optimization

Optimal Variable Clustering for High-Dimensional Matrix Valued Data

Hierarchical clustering: visualization, feature importance and model selection

A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets

Meeting Summarization with Pre-training and Clustering Methods

Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees

Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score