Data Clustering

Data clustering aims to partition data points into groups (clusters) based on similarity, facilitating data analysis and interpretation. Current research emphasizes developing robust and efficient algorithms for diverse data types, including high-dimensional, categorical, and graph data, with a focus on improving scalability and incorporating fairness considerations. Prominent approaches involve density-based methods, Bayesian techniques, and deep learning models, often incorporating graph structures or self-supervised learning. These advancements are impacting various fields, from satellite communication optimization and medical image analysis to financial modeling and news prioritization.

Papers

December 1, 2023

Clustering Students According to their Academic Achievement Using Fuzzy Logic
Serhiy Balovsyak, Oleksandr Derevyanchuk, Hanna Kravchenko, Yuriy Ushenko, Zhengbing Hu
Data Clustering Student Friendly Knowledge Fuzzy Logic Cluster Analysis Scikit Learn Fuzzy Membership

November 28, 2023

Beyond Labels: Advancing Cluster Analysis with the Entropy of Distance Distribution (EDD)
Claus Metzner, Achim Schilling, Patrick Krauss
Data Clustering Label Information Stable Entropy Cluster Analysis Conventional Clustering Distance Distribution

November 26, 2023

Robust and Automatic Data Clustering: Dirichlet Process meets Median-of-Means
Supratik Basu, Jyotishka Ray Choudhury, Debolina Paul, Swagatam Das
Data Clustering State of the Art Clustering Dirichlet Process Geometric Median Centroid Based Clustering

October 27, 2023

Towards a fuller understanding of neurons with Clustered Compositional Explanations
Biagio La Rosa, Leilani H. Gilpin, Roberto Capobianco
Line by Line Explanation Data Clustering Single Neuron Level Deep Understanding Neuron Activation Compositional Explanation

October 22, 2023

Clustering Students Based on Gamification User Types and Learning Styles
Emre Arslan, Atilla Özkaymak, Nesrin Özdener Dönmez
Data Clustering Gamification User Type Learning Style Clustering Quality

October 18, 2023

Image Clustering with External Guidance
Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng
Data Clustering Text Clustering Image Clustering Contrastive Clustering

September 23, 2023

DenMune: Density peak based clustering using mutual nearest neighbors
Mohamed Abbas, Adel El-Zoghobi, Amin Shoukry
Data Clustering State of the Art Clustering Level Consistency Density Peak

September 19, 2023

Unsupervised Learning via Network-Aware Embeddings
Anne Sophie Riis Damstrup, Sofie Tosti Madsen, Michele Coscia
Unsupervised Learning Data Clustering Unsupervised Machine Learning

September 15, 2023

Automated dermatoscopic pattern discovery by clustering neural network output for human-computer interaction
Lidia Talavera-Martinez, Philipp Tschandl
Data Clustering Medical Image Datasets Human Machine Interaction Unsupervised Clustering Neural Network Output Interpretable Clustering

September 5, 2023

Superclustering by finding statistically significant separable groups of optimal gaussian clusters
Oleg I. Berngardt
Data Clustering Hierarchical Clustering

August 29, 2023

Bridging Distribution Learning and Image Clustering in High-dimensional Space
Guanfang Dong, Chenqiu Zhao, Anup Basu
Data Clustering Gaussian Mixture Model High Dimensional Space Distribution Learning Distributional Learning Image Clustering Divergence Loss

August 28, 2023

Some issues in robust clustering
Christian Hennig
Data Clustering Gaussian Mixture Model Proper Issue Labeling Global Outlier Robust Clustering

August 18, 2023

Eigenvalue-based Incremental Spectral Clustering
Mieczysław A. Kłopotek, Bartłmiej Starosta, Sławomir T. Wierzchoń
Data Clustering Spectral Clustering Smallest Eigenvalue Incremental Clustering

August 9, 2023

Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization
Yasser Khalafaoui, Nistor Grozavu, Basarab Matei, Laurent-Walter Goix
Multi View Matrix Factorization Data Clustering Non Negative Matrix Factorization Negative Matrix Factorization

August 1, 2023

Explainable Graph Spectral Clustering of Text Documents
Bartłomiej Starosta, Mieczysław A. Kłopotek, Sławomir T. Wierzchoń
Data Clustering Spectral Clustering Clustering Result Explainable Clustering Text Document

July 17, 2023

Snapshot Spectral Clustering -- a costless approach to deep clustering ensembles generation
Adam Piróg, Halina Kwaśnicka
Deep Learning Deep Neural Network Ensemble Learning Data Clustering Deep Ensemble Spectral Clustering Cost Effective Approach

July 14, 2023

Visualizing Overlapping Biclusterings and Boolean Matrix Factorizations
Thibault Marette, Pauli Miettinen, Stefan Neumann
Matrix Factorization Data Clustering Cluster Structure Bipartite Graph Bi Cluster

July 10, 2023

Fast dynamic time warping and clustering in C++
Volkan Kumtepeli, Rebecca Perriment, David A. Howey
Time Series Data Data Clustering Mixed Integer Dynamic Time Warping Time Series Datasets C++ Implementation

July 8, 2023

Feature selection simultaneously preserving both class and cluster structures
Suchismita Das, Nikhil R. Pal
Feature Selection Hyperspectral Image Data Clustering True Class

July 6, 2023

DPM: Clustering Sensitive Data through Separation
Yara Schütt, Johannes Liebenow, Tanya Braun, Marcel Gehrke, Florian Thaeter, Esfandiar Mohammadi
Data Clustering Sensitive Data Separation Performance Private Clustering