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

January 23, 2024

January 18, 2024

EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile
Vu Hong Quan, Le Hoang Ngan, Le Minh Duc, Nguyen Tran Ngoc Linh, Hoang Quynh-Le
Large Scale Recommendation System Data Clustering Contrastive Learning Framework Traditional Recommender User Interaction Soft Clustering

January 13, 2024

Optimization of Inter-group Criteria for Clustering with Minimum Size Constraints
Eduardo S. Laber, Lucas Murtinho
Optimization Purpose Data Clustering Hierarchical Clustering Length Constraint Spanning Tree

January 10, 2024

The recursive scheme of clustering
Alicja Miniak-Górecka, Krzysztof Podlaski, Tomasz Gwizdałła
Data Clustering K Mean Recursive Algorithm

January 6, 2024

Learning-Augmented K-Means Clustering Using Dimensional Reduction
Issam K. O Jabari, Shofiyah, Pradiptya Kahvi S, Novi Nur Putriwijaya, Novanto Yudistira
Data Clustering Principal Component Analysis K Mean Dimension Reduction

December 22, 2023

A Novel Sampled Clustering Algorithm for Rice Phenotypic Data
Mithun Singh, Kapil Ahuja, Milind B. Ratnaparkhe
Data Clustering Long Form Novel Spectral Clustering Hierarchical Clustering Clustering Algorithm

December 8, 2023

Human in-the-Loop Estimation of Cluster Count in Datasets via Similarity-Driven Nested Importance Sampling
Gustavo Perez, Daniel Sheldon, Grant Van Horn, Subhransu Maji
Data Set Data Clustering Importance Sampling Cluster Structure Pairwise Similarity

December 6, 2023

PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search
Shangdi Yu, Joshua Engels, Yihao Huang, Julian Shun
Data Clustering MADDPG Algorithm Physic Constrained Graph Based Approximate Nearest Neighbor High Dimensional Density Parallel Clustering

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 Image Clustering Text 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

Data Clustering

Papers

Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning

Near-Optimal Algorithms for Constrained k-Center Clustering with Instance-level Background Knowledge

EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile

Optimization of Inter-group Criteria for Clustering with Minimum Size Constraints

The recursive scheme of clustering

Learning-Augmented K-Means Clustering Using Dimensional Reduction

A Novel Sampled Clustering Algorithm for Rice Phenotypic Data

Human in-the-Loop Estimation of Cluster Count in Datasets via Similarity-Driven Nested Importance Sampling

PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search

Clustering Students According to their Academic Achievement Using Fuzzy Logic

Beyond Labels: Advancing Cluster Analysis with the Entropy of Distance Distribution (EDD)

Robust and Automatic Data Clustering: Dirichlet Process meets Median-of-Means

Towards a fuller understanding of neurons with Clustered Compositional Explanations

Clustering Students Based on Gamification User Types and Learning Styles

Image Clustering with External Guidance

DenMune: Density peak based clustering using mutual nearest neighbors

Unsupervised Learning via Network-Aware Embeddings

Automated dermatoscopic pattern discovery by clustering neural network output for human-computer interaction

Superclustering by finding statistically significant separable groups of optimal gaussian clusters

Bridging Distribution Learning and Image Clustering in High-dimensional Space