Iterative Clustering

Iterative clustering refines clustering results through repeated application of clustering algorithms, often coupled with feature selection or dimensionality reduction steps. Current research focuses on improving the accuracy and efficiency of these methods, particularly for complex datasets with high dimensionality or noisy data, employing techniques like k-means, hierarchical clustering, and semidefinite programming within iterative frameworks. These advancements are impacting diverse fields, enabling better analysis of high-dimensional data in applications such as medical risk factor identification, defect detection in manufacturing, and community detection in social networks. The iterative approach enhances the robustness and interpretability of clustering results, leading to more reliable insights from complex data.

Papers

May 24, 2024

Risk Factor Identification In Osteoporosis Using Unsupervised Machine Learning Techniques
Mikayla Calitis
Unsupervised Learning Data Clustering Different Cluster Risk Factor Bone Mineral Density Iterative Clustering

April 23, 2024

Iterative Cluster Harvesting for Wafer Map Defect Patterns
Alina Pleli, Simon Baeuerle, Michel Janus, Jonas Barth, Ralf Mikut, Hendrik P. A. Lensch
Unsupervised Clustering Defect Pattern Wafer Defect Iterative Clustering Wafer Map Defect Pattern

October 30, 2023

Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model
Maximilien Dreveton, Felipe S. Fernandes, Daniel R. Figueiredo
Sparse Network Stochastic Block Model Hard Clustering Attributed Network Interaction Network Exact Community Recovery Iterative Clustering

August 29, 2023

Gap-Free Clustering: Sensitivity and Robustness of SDP
Matthew Zurek, Yudong Chen
Native Robustness Semidefinite Programming Convex Relaxation Network Sensitivity Stochastic Block Model Iterative Clustering Parameter Free Clustering Algorithm

July 3, 2023

Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part II -- Clustering Extremely High-Dimensional Grid-Based Data
Chandrika Kamath, Juliette S. Franzman
Data Clustering Interaction Generation Random Projection Energetic Material Iterative Clustering Multiple Jet

June 9, 2023

Acoustic Scene Clustering Using Joint Optimization of Deep Embedding Learning and Clustering Iteration
Yanxiong Li, Mingle Liu, Wucheng Wang, Yuhan Zhang, Qianhua He
Loss Function Feature Embeddings Joint Optimization Acoustic Scene Classification Acoustic Scene Audio Feature Iterative Clustering

May 25, 2023

Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation
Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
Structured Summary Person Name Abstractive Summarisation Iterative Clustering Argument Summarization

April 5, 2023

A system for exploring big data: an iterative k-means searchlight for outlier detection on open health data
A. Ravishankar Rao, Daniel Clarke, Subrata Garai, Soumyabrata Dey
System Description Outlier Detection Big Data Global Outlier Iterative Clustering New Finding

November 14, 2022

Seeded iterative clustering for histology region identification
Eduard Chelebian, Francesco Ciompi, Carolina Wählby
Transfer Learning Image Analysis Coarse Segmentation Iterative Clustering Dense Annotation

June 25, 2022

SLIC: Self-Supervised Learning with Iterative Clustering for Human Action Videos
Salar Hosseini Khorasgani, Yuxuan Chen, Florian Shkurti
LeArning Abstract Action Classification Slow Motion Iterative Clustering

December 20, 2021

An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
Guillaume Braun, Hemant Tyagi, Christophe Biernacki
Network Analysis Optimality Guarantee Iterative Clustering Well Clustered Graph Network Clustering Contextual Stochastic Block Model

Iterative Clustering

Papers

Risk Factor Identification In Osteoporosis Using Unsupervised Machine Learning Techniques

Iterative Cluster Harvesting for Wafer Map Defect Patterns

Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model

Gap-Free Clustering: Sensitivity and Robustness of SDP

Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part II -- Clustering Extremely High-Dimensional Grid-Based Data

Acoustic Scene Clustering Using Joint Optimization of Deep Embedding Learning and Clustering Iteration

Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation

A system for exploring big data: an iterative k-means searchlight for outlier detection on open health data

Seeded iterative clustering for histology region identification

SLIC: Self-Supervised Learning with Iterative Clustering for Human Action Videos

An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees