Agglomerative Hierarchical Clustering

Agglomerative hierarchical clustering is a widely used unsupervised machine learning technique aiming to build a hierarchy of clusters by iteratively merging data points or groups based on similarity measures. Current research focuses on improving its efficiency for high-dimensional data, particularly through integration with dimensionality reduction techniques like KPCA and the development of novel linkage methods based on ordered weighted averaging or dot products to enhance cluster recovery and avoid dendrogram inversions. This versatile method finds applications across diverse fields, including biomedical data analysis for disease subtyping, financial crime detection, spam email classification, and even animal pose recognition, demonstrating its broad utility in exploratory data analysis and pattern discovery.

Papers

November 7, 2024

On the cohesion and separability of average-link for hierarchical agglomerative clustering
Eduardo Sany Laber, Miguel Bastista
Hierarchical Clustering Tiltable Link Linear Separability Dissimilarity Measure Agglomerative Hierarchical Clustering

October 12, 2024

Enhancing Affinity Propagation for Improved Public Sentiment Insights
Mayimunah Nagayi, Clement Nyirenda
Sentiment Analysis Public Sentiment Structured Sentiment Analysis Agglomerative Hierarchical Clustering Affinity Propagation

June 23, 2024

VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data
Paul D. W. Kirk, Jackie Rao
High Dimensional Variational Inference Sequential Data Variable Selection Cancer Subtyping Soft QMIX Agglomerative Hierarchical Clustering Variational Mixture

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 7, 2024

Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach
F. Janez-Martino, R. Alaiz-Rodriguez, V. Gonzalez-Castro, E. Fidalgo, E. Alegre
Agglomerative Hierarchical Clustering Fast Classification Image Spam Spam Email

September 5, 2023

Data Aggregation for Hierarchical Clustering
Erich Schubert, Andreas Lang
Different Cluster Clustering Method Hierarchical Clustering Data Aggregation Agglomerative Hierarchical Clustering

May 24, 2023

Hierarchical clustering with dot products recovers hidden tree structure
Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
Probabilistic Graphical Model Different Cluster Dot Product Hierarchical Information Hierarchical Generative Agglomerative Hierarchical Clustering Hidden Structure

March 10, 2023

Hierarchical clustering with OWA-based linkages, the Lance-Williams formula, and dendrogram inversions
Marek Gagolewski, Anna Cena, Simon James, Gleb Beliakov
Pairwise Similarity Event Linking Weighted Average Agglomerative Hierarchical Clustering Dendrogram Construction

December 1, 2022

Locally Adaptive Hierarchical Cluster Termination With Application To Individual Tree Delineation
Ashlin Richardson, Donald Leckie
Application Proficiency Distance Function Online Merging Early Termination Individual Tree Agglomerative Hierarchical Clustering

November 9, 2022

An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
Tyler R. Scott, Ting Liu, Michael C. Mozer, Andrew C. Gallagher
Jina Embeddings Empirical Study Clustering Method Face Embeddings Agglomerative Hierarchical Clustering Neural Clustering Supervised Clustering

October 18, 2022

Agglomerative Hierarchical Clustering with Dynamic Time Warping for Household Load Curve Clustering
Fadi AlMahamid, Katarina Grolinger
K Mean Dynamic Time Warping Clustering Algorithm Consumption Data Agglomerative Hierarchical Clustering

June 13, 2022

The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques
Ezra Fielding, Clement N. Nyirenda, Mattia Vaccari
Classification Code Unsupervised Learning K Mean Unsupervised Method Galaxy Morphology Agglomerative Hierarchical Clustering

May 19, 2022

Bi-LSTM Scoring Based Similarity Measurement with Agglomerative Hierarchical Clustering (AHC) for Speaker Diarization
Siddharth S. Nijhawan, Homayoon Beigi
Speaker Diarization Hierarchical Clustering Speech Segment Spoken Conversation Agglomerative Hierarchical Clustering Deep Similarity Audio Segmentation

November 27, 2021

Low-Latency Online Speaker Diarization with Graph-Based Label Generation
Yucong Zhang, Qinjian Lin, Weiqing Wang, Lin Yang, Xuyang Wang, Junjie Wang, Ming Li
Speaker Diarization Agglomerative Hierarchical Clustering Long Form Audio

November 16, 2021

Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning
Samayan Bhattacharya, Sk Shahnawaz
Contrastive Learning Estimation Task Human Pose Human Pose Estimation Visual Input Animal Specie Animal Pose Estimation Agglomerative Hierarchical Clustering

Agglomerative Hierarchical Clustering

Papers

On the cohesion and separability of average-link for hierarchical agglomerative clustering

Enhancing Affinity Propagation for Improved Public Sentiment Insights

VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data

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

Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach

Data Aggregation for Hierarchical Clustering

Hierarchical clustering with dot products recovers hidden tree structure

Hierarchical clustering with OWA-based linkages, the Lance-Williams formula, and dendrogram inversions

Locally Adaptive Hierarchical Cluster Termination With Application To Individual Tree Delineation

An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?

Agglomerative Hierarchical Clustering with Dynamic Time Warping for Household Load Curve Clustering

The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques

Bi-LSTM Scoring Based Similarity Measurement with Agglomerative Hierarchical Clustering (AHC) for Speaker Diarization

Low-Latency Online Speaker Diarization with Graph-Based Label Generation

Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning