Spatial Clustering

Spatial clustering aims to group data points based on their spatial proximity and shared characteristics, facilitating pattern discovery and anomaly detection in various datasets. Current research emphasizes developing robust algorithms that handle high-dimensional data, incomplete information, and complex spatial relationships, employing techniques like density-based clustering, fuzzy clustering, and finite mixture modeling. These advancements find applications in diverse fields, including transportation (vessel path identification), network monitoring (EDFA pump current analysis), and image analysis (person re-identification), improving efficiency and enabling predictive maintenance. The development of more efficient and adaptable spatial clustering methods continues to be a significant area of focus.

Papers

October 23, 2024

Hypergraph Neural Networks Reveal Spatial Domains from Single-cell Transcriptomics Data
Mehrad Soltani, Luis Rueda
Graph Neural Network Spatial Domain Hypergraph Neural Network Domain Discriminator Transcriptomic Data Spatial Clustering

October 3, 2024

Density based Spatial Clustering of Lines via Probabilistic Generation of Neighbourhood
Akanksha Das, Malay Bhattacharyya
Data Clustering Clustering Algorithm Particle Density Best Fit Line Neighborhood Level Probability Density Function Spatial Clustering

August 12, 2024

Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering
Dominic Schneider, Lutz Rapp, Christoph Ament
Anomaly Detection Time Series Fuzzy Clustering Spatial Clustering Representation Degeneration EDA Developer

March 9, 2024

Spatial Clustering Approach for Vessel Path Identification
Mohamed Abuella, M. Amine Atoui, Slawomir Nowaczyk, Simon Johansson, Ethan Faghan
Path Modeling Vessel Detection Spatial Clustering Maritime Industry Vessel Graph

March 1, 2024

Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification
Jiahao Hong, Jialong Zuo, Chuchu Han, Ruochen Zheng, Ming Tian, Changxin Gao, Nong Sang
Metric Learning Part Based Spatial Clustering

September 18, 2023

A Modular Spatial Clustering Algorithm with Noise Specification
Akhil K, Srikanth H R
Clustering Method Artificial Life Spatial Clustering Noise Spectroscopy

March 19, 2023

Clustering US Counties to Find Patterns Related to the COVID-19 Pandemic
Cora Brown, Sarah Milstein, Tianyi Sun, Cooper Zhao
Complex Pattern Clustering Method Covid 19 Pandemic Global Pandemic Spatial Clustering

November 15, 2022

The Association Between SOC and Land Prices Considering Spatial Heterogeneity Based on Finite Mixture Modeling
Woo Seok Kang, Eunchan Kim, Wookjae Heo
Association Capability Real Estate Spatial Feature Finite Mixture Spatial Heterogeneity Spatial Clustering MM Soc

March 17, 2022

STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity
Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, Teng Fei
Data Mining Subspace Clustering Multivariate Approach Spatial Pattern Spatial Consistency Spatial Clustering

February 23, 2022

Human Motion Detection Using Sharpened Dimensionality Reduction and Clustering
Jeewon Heo, Youngjoo Kim, Jos B. T. M. Roerdink
Dimensionality Reduction High Dimensional Data Spectral Clustering Motion Detection Multidimensional Projection Spatial Clustering

January 7, 2022

Probabilistic spatial clustering based on the Self Discipline Learning (SDL) model of autonomous learning
Zecang Gu, Xiaoqi Sun, Yuan Sun, Fuquan Zhang
Full Model Clustering Algorithm Unsupervised Clustering Independent Learning Self Stimulatory Spatial Clustering Probability Space

Spatial Clustering

Papers

Hypergraph Neural Networks Reveal Spatial Domains from Single-cell Transcriptomics Data

Density based Spatial Clustering of Lines via Probabilistic Generation of Neighbourhood

Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering

Spatial Clustering Approach for Vessel Path Identification

Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification

A Modular Spatial Clustering Algorithm with Noise Specification

Clustering US Counties to Find Patterns Related to the COVID-19 Pandemic

The Association Between SOC and Land Prices Considering Spatial Heterogeneity Based on Finite Mixture Modeling

STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity

Human Motion Detection Using Sharpened Dimensionality Reduction and Clustering

Probabilistic spatial clustering based on the Self Discipline Learning (SDL) model of autonomous learning