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

January 14, 2025

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques
Aziida Nanyonga, Hassan Wasswa, Ugur Turhan, Keith Joiner, Graham Wild
Topic Modeling Clustering Method Latent Dirichlet Allocation Incident Report Latent Semantic Analysis

January 10, 2025

Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
Kunpeng Xu, Lifei Chen, Shengrui Wang
Clustering Method Small Kernel Kernel Based Subspace Clustering Affinity Matrix Kernel Spectral Clustering

January 5, 2025

Chameleon2++: An Efficient Chameleon2 Clustering with Approximate Nearest Neighbors
Priyanshu Singh, Kapil Ahuja
Average Approximation Nearest Neighbor Clustering Method Pace Adaptive Clustering Framework

December 31, 2024

Federated Deep Subspace Clustering
Yupei Zhang, Ruojia Feng, Yifei Wang, Xuequn Shang
Clustering Method Subspace Prototype Private Clustering Federated Clustering Clustering Performance Embedded Space

December 29, 2024

Bridging the Gap: A Decade Review of Time-Series Clustering Methods
John Paparrizos, Fan Yang, Haojun Li
Time Series Clustering Method High Dimensional Time Series Time Series Clustering

December 21, 2024

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Neural Network Scientific Inference DNN Framework DNN Model Cloud Computing Clustering Method Mobile Edge

November 19, 2024

Attributed Graph Clustering in Collaborative Settings
Rui Zhang, Xiaoyang Hou, Zhihua Tian, Yan he, Enchao Gong, Jian Liu, Qingbiao Wu, Kui Ren
Unsupervised Learning Clustering Method Graph Clustering

October 22, 2024

Dynamic User Grouping based on Location and Heading in 5G NR Systems
Dino Pjanić, Korkut Emre Arslantürk, Xuesong Cai, Fredrik Tufvesson
Neural Network Clustering Method Location Information G Wireless Article Centered Factor User Clustering Optimal Grouping

October 6, 2024

Distributed Inference on Mobile Edge and Cloud: An Early Exit based Clustering Approach
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Neural Network Deep Neural Network Scientific Inference Cloud Computing Clustering Method Inference Latency Inference Cost Inference Framework Early eXit Mobile Edge

October 1, 2024

ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System
Mahamudul Hasan
Recommender System Outlier Detection Clustering Method Global Outlier User Item User Clustering

August 30, 2024

A Scalable k-Medoids Clustering via Whale Optimization Algorithm
Huang Chenan, Narumasa Tsutsumida
Clustering Method Unsupervised Clustering Clustering Result Whale Optimization Algorithm K Medoids Algorithm

August 5, 2024

Hierarchical Clustering using Reversible Binary Cellular Automata for High-Dimensional Data
Baby C. J., Kamalika Bhattacharjee
Data Clustering High Dimensional Data Clustering Method Hierarchical Clustering Cellular Automaton Clustering Algorithm Reversible Architecture

June 25, 2024

A review of unsupervised learning in astronomy
Sotiria Fotopoulou
Narrative Review Unsupervised Learning K Mean Clustering Method Astronomical Data Density Based Clustering

April 16, 2024

On the Use of Relative Validity Indices for Comparing Clustering Approaches
Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston Jr, Mark Goldsworthy, Lachlan O'Neil
Greater Public Use Clustering Method Distance Measure State of the Art Clustering

April 14, 2024

LSROM: Learning Self-Refined Organizing Map for Fast Imbalanced Streaming Data Clustering
Yongqi Xu, Yujian Lee, Rong Zou, Yiqun Zhang, Yiu-Ming Cheung
Clustering Method Self Organizing Map Dynamic Clustering Imbalanced Clustering

March 24, 2024

What Happens to a Dataset Transformed by a Projection-based Concept Removal Method?
Richard Johansson
Representation Space Language Representation Clustering Method Data Transformation Concept Removal Statistical Dependency

March 18, 2024

A Clustering Method with Graph Maximum Decoding Information
Xinrun Xu, Manying Lv, Zhanbiao Lian, Yurong Wu, Jin Yan, Shan Jiang, Zhiming Ding
Graph Based Clustering Method Graph Partitioning Model Based Clustering Graph Based Clustering Graph Decoder

February 14, 2024

Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering
Ahmed N. Bakry, Almohammady S. Alsharkawy, Mohamed S. Farag, Kamal R. Raslan
Unsupervised Learning Dimensionality Reduction Clustering Method Independent Component Analysis Credit Card Fraud Money Laundering Agglomerative Hierarchical Clustering

February 10, 2024

Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System
María Teresa García-Ordás, Héctor Alaiz-Moretón, José-Luis Casteleiro-Roca, Esteban Jove, José Alberto Benítez-Andrades, Isaías García-Rodríguez, Héctor Quintián, José Luis Calvo-Rolle
Case Study Supervised Learning Clustering Method Solar Power Hybrid Prediction Model

December 12, 2023

Typification of Driver Models Using Clustering Methods
Gergo Igneczi, Tamas Dobay
Clustering Method Driver State Prototypical Representation Driving Style Lane Keeping Driver Model

Clustering Method

Papers

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques

Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach

Chameleon2++: An Efficient Chameleon2 Clustering with Approximate Nearest Neighbors

Federated Deep Subspace Clustering

Bridging the Gap: A Decade Review of Time-Series Clustering Methods

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach

Attributed Graph Clustering in Collaborative Settings

Dynamic User Grouping based on Location and Heading in 5G NR Systems

Distributed Inference on Mobile Edge and Cloud: An Early Exit based Clustering Approach

ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System

A Scalable k-Medoids Clustering via Whale Optimization Algorithm

Hierarchical Clustering using Reversible Binary Cellular Automata for High-Dimensional Data

A review of unsupervised learning in astronomy

On the Use of Relative Validity Indices for Comparing Clustering Approaches

LSROM: Learning Self-Refined Organizing Map for Fast Imbalanced Streaming Data Clustering

What Happens to a Dataset Transformed by a Projection-based Concept Removal Method?

A Clustering Method with Graph Maximum Decoding Information

Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering

Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System

Typification of Driver Models Using Clustering Methods