Cluster analysis
View article: DendroTime: Progressive Hierarchical Clustering for Variable-Length Time Series
DendroTime: Progressive Hierarchical Clustering for Variable-Length Time Series Open
View article: Flight allocation in flight-centric air traffic control: Hierarchical clustering and Simulated Annealing approach
Flight allocation in flight-centric air traffic control: Hierarchical clustering and Simulated Annealing approach Open
International audience
View article: Comparative evaluation of large-scale many objective algorithms on complex optimization problems
Comparative evaluation of large-scale many objective algorithms on complex optimization problems Open
In the field of optimization, there has been an enormous surge in interest in addressing large-scale many-objective problems. Numerous academicians and practitioners have contributed to evolutionary computation by developing a variety of o…
View article: Pocket Safar: An AI-Driven Smart Travel Recommendation and Dynamic Itinerary Planning System
Pocket Safar: An AI-Driven Smart Travel Recommendation and Dynamic Itinerary Planning System Open
The rapid growth of digital travel platforms has streamlined booking processes, many existing systems still struggle to deliver deep personalization, effective budget planning, contextual safety support, and meaningful community-based feat…
View article: How do businesses manage their overdue accounts receivable? Evidence from Poland
How do businesses manage their overdue accounts receivable? Evidence from Poland Open
Purpose To identify and characterize policies for managing overdue receivables among Polish enterprises. Design/methodology/approach The survey using the computer-assisted web interviewing method was applied. Based on the 754 responses to …
View article: Supplementary Figures 1 and 2 from Quantitative <i>In Vivo</i> Imaging of the Androgen Receptor Axis Reveals Degree of Prostate Cancer Radiotherapy Response
Supplementary Figures 1 and 2 from Quantitative <i>In Vivo</i> Imaging of the Androgen Receptor Axis Reveals Degree of Prostate Cancer Radiotherapy Response Open
S1. Hierarchical clustering based on Euclidean distance of RNA-seq data demonstrates separation of EBRT-treated (B1-3) and untreated (C1-3) samples.S2. Multi-dimensional scaling plot of RNA-seq data demonstrates separation of EBRT-treated …
View article: HoliTexCycle - A holistic approach for a product related longevity scheme and multi stage clustering in circular development
HoliTexCycle - A holistic approach for a product related longevity scheme and multi stage clustering in circular development Open
The textile and clothing sector is one of the most resource-intensive and environmentally impactful industries worldwide. Rising production volumes and declining product lifespans contribute significantly to waste generation and pollution.…
View article: HoliTexCycle - A holistic approach for a product related longevity scheme and multi stage clustering in circular development
HoliTexCycle - A holistic approach for a product related longevity scheme and multi stage clustering in circular development Open
The textile and clothing sector is one of the most resource-intensive and environmentally impactful industries worldwide. Rising production volumes and declining product lifespans contribute significantly to waste generation and poll…
View article: Supplementary Figures 1-16 from Improved Delineation of Colorectal Cancer Molecular Subtypes and Functional Profiles with a 62-Gene Panel
Supplementary Figures 1-16 from Improved Delineation of Colorectal Cancer Molecular Subtypes and Functional Profiles with a 62-Gene Panel Open
S1. Expression profiles of cell type-specific markers. S2. Example of a subnetwork consisting of 1000 samples from the original CMS dataset. S3. Robustness analysis of the 2-round network clustering method. S4. Hierarchical clustering of C…
View article: Identifying Vehicle Signals in Continuous Seismic Data Using Unsupervised Machine-Learning Techniques
Identifying Vehicle Signals in Continuous Seismic Data Using Unsupervised Machine-Learning Techniques Open
Seismic sensors deployed near roadways effectively capture ground vibrations generated by passing vehicles. Although both traditional and machine-learning algorithms have been utilized for analyzing such signals, independent validation of …
View article: Secure Dynamic Event-Triggered Cluster Synchronization Control of Complex Dynamical Networks Under Random Deception Attacks
Secure Dynamic Event-Triggered Cluster Synchronization Control of Complex Dynamical Networks Under Random Deception Attacks Open
This paper is concerned with the secure and resource-efficient cluster synchronization problem of a class of complex dynamical networks (CDNs) under random deception attacks. Each node in the CDNs is modeled by a nonlinear dynamical system…
View article: Supplemental Figure S1 from Deep Transcriptome Profiling of Multiple Myeloma Using Quantitative Phenotypes
Supplemental Figure S1 from Deep Transcriptome Profiling of Multiple Myeloma Using Quantitative Phenotypes Open
A color analogy to illustrate the advantages of spectra variables for modeling. a) Individual observations of color. b) Dimension Reduction (additive color theory), all colors can be represented using 3 quantitative RGB variables. c) Stand…
View article: An Artifact-Centric Process Mining Approach for Learning Style Analytics
An Artifact-Centric Process Mining Approach for Learning Style Analytics Open
As an integrated discipline encompassing data mining, machine learning, process modeling and analytics, process mining is increasingly being applied in the field of education and has emerged as a prominent research topic. Traditional busin…
View article: Application of Machine Learning Models Based on H&amp;E Staining for Mitochondrial-Related Genes Classification and Prognosis of Lung Adenocarcinoma
Application of Machine Learning Models Based on H&E Staining for Mitochondrial-Related Genes Classification and Prognosis of Lung Adenocarcinoma Open
Lung adenocarcinoma (LUAD) is a leading cause of cancer-related mortality worldwide, necessitating the identification of reliable prognostic biomarkers. This study innovatively combines mitochondrial-related genes classification with patho…
View article: From Consensus to Robust Clustering: Multi-Agent Systems with Nonlinear Interactions
From Consensus to Robust Clustering: Multi-Agent Systems with Nonlinear Interactions Open
This paper establishes a theoretical framework to describe the transition from consensus to stable clustering in multi-agent systems with nonlinear, cooperative interactions. We first establish a sharp threshold for consensus. For a broad …
View article: FluidMap: Proportional and Spatially Consistent Layout Enrichments in Multidimensional Projections
FluidMap: Proportional and Spatially Consistent Layout Enrichments in Multidimensional Projections Open
Layout enrichment methods for multidimensional projections aim to enhance 2D scatterplots with additional information. We address the representation of categorical attributes with respect to a numerical feature, like the importance of a da…
View article: FPGA-tailored algorithms for real-time decoding of quantum LDPC codes
FPGA-tailored algorithms for real-time decoding of quantum LDPC codes Open
Real-time decoding is crucial for fault-tolerant quantum computing but likely requires specialized hardware such as field-programmable gate arrays (FPGAs), whose parallelism can alter relative algorithmic performance. We analyze FPGA-tailo…
View article: Virus–Immune Signatures Reveal Distinct Clinical Phenotypes and Predict Prognosis in Patients with Kaposi's Sarcoma
Virus–Immune Signatures Reveal Distinct Clinical Phenotypes and Predict Prognosis in Patients with Kaposi's Sarcoma Open
Background Kaposi's sarcoma (KS) is a Kaposi's sarcoma-associated herpesvirus(KSHV)-driven multicentric malignancy that demonstrates significant clinical heterogeneity. Current etiology-based classifications fail to capture the underlying …
View article: Combined image block and DBSCAN processing for large field of view structured light point cloud denoising
Combined image block and DBSCAN processing for large field of view structured light point cloud denoising Open
Stripe projection structured light systems are widely used in fields such as industrial inspection and virtual reality. With the gradual growth of the demand for sizeable field-of-view three-dimensional morphology reconstruction, the expan…
View article: Modeling Fuzzy Geographically Weighted Clustering with Flower Pollination Algorithm for Spatial Optimization and Clustering
Modeling Fuzzy Geographically Weighted Clustering with Flower Pollination Algorithm for Spatial Optimization and Clustering Open
This study aims to analyze the clustering of districts/cities in East Nusa Tenggara Province (NTT) using the Fuzzy Geographically Weighted Clustering method optimized through the Flower Pollination Algorithm (FGWC-FPA). The data consist of…
View article: Data-Driven Assessment of Concrete Slab Integrity via Impact-Echo Signals and Neural Networks
Data-Driven Assessment of Concrete Slab Integrity via Impact-Echo Signals and Neural Networks Open
Subsurface defects such as delamination, voids, and honeycombing critically affect the durability of concrete bridge decks but are difficult to detect reliably using visual inspection or manual sounding. This paper presents a machine learn…
View article: ROPGAP3 interacts with PIN2 and modulates its clustering and trafficking in <i>Arabidopsis</i>
ROPGAP3 interacts with PIN2 and modulates its clustering and trafficking in <i>Arabidopsis</i> Open
Guanosine triphosphate (GTP)-hydrolyzing enzyme (GTPase) activating proteins (GAPs) negatively regulate small GTPase-mediated signaling by enhancing GTP to guanosine diphosphate (GDP) hydrolysis. The Rho small GTPase Of Plants (ROP) signal…
View article: Comparative Analysis of K-Means and Hierarchical Clustering for Regional Welfare Disparity Identification in West Java Province
Comparative Analysis of K-Means and Hierarchical Clustering for Regional Welfare Disparity Identification in West Java Province Open
This study aims to cluster regencies/cities in West Java Province based on public welfare indicators using the K-Means Clustering and Hierarchical Clustering methods. The data used includes health, economic, population density, and average…
View article: ICIRD: Information-Principled Deep Clustering for Invariant, Redundancy-Reduced and Discriminative Cluster Distributions
ICIRD: Information-Principled Deep Clustering for Invariant, Redundancy-Reduced and Discriminative Cluster Distributions Open
Deep clustering aims to discover meaningful data groups by jointly learning representations and cluster probability distributions. Yet existing methods rarely consider the underlying information characteristics of these distributions, caus…
View article: Beyond Standardization: A Qualitative Study Using the i-PARIHS Framework and User Profiles to Improve Invasive Arterial Blood Pressure Monitoring Accuracy
Beyond Standardization: A Qualitative Study Using the i-PARIHS Framework and User Profiles to Improve Invasive Arterial Blood Pressure Monitoring Accuracy Open
Background Invasive arterial blood pressure (IBP) monitoring is vital in critical care, yet its accuracy is frequently compromised in practice. While previous studies have focused on technical comparisons or procedural standardization, a s…
View article: Topological Resilience of Alliance Networks: Onset and Escalation in 20th Century Wars
Topological Resilience of Alliance Networks: Onset and Escalation in 20th Century Wars Open
This paper investigates the topological resilience of international alliance networks and its correlation with the onset and escalation of wars in the 20th century. By conceptualizing the international system as a complex network where sta…
View article: Spatial Optimization of Primary School Campuses from the Perspective of Children’s Emotional Behavior: A Deep Learning and Machine Learning Approach
Spatial Optimization of Primary School Campuses from the Perspective of Children’s Emotional Behavior: A Deep Learning and Machine Learning Approach Open
From the perspective of children’s emotional behavior, this study constructs a multidimensional indicator framework—“spatial elements-spatial typologies-spatial color-emotion and behavior.” Integrating behavior mapping, we employ deep- and…
View article: Has the Digital Economy Facilitated Regional Collaborative Carbon Reduction? A Complex Network Approach Toward Sustainable Development Goals
Has the Digital Economy Facilitated Regional Collaborative Carbon Reduction? A Complex Network Approach Toward Sustainable Development Goals Open
The digital economy (DE) serves as a crucial engine for breaking through technological stagnation at the low end and achieving carbon neutrality. However, existing studies predominantly explore the impact of the DE on local carbon reductio…
View article: Blue Lurkers Candidates across Open Clusters from UV excess and stellar rotation
Blue Lurkers Candidates across Open Clusters from UV excess and stellar rotation Open
Blue lurkers (BLs) are a recently identified class of exotic stars, first characterized in the open cluster M67 as lower-mass counterparts of blue straggler stars, photometrically hidden along the main sequence of their host clusters. They…
View article: FFSSC: a framework for discovering new classes of ancient texts based on feature fusion and semi-supervised clustering
FFSSC: a framework for discovering new classes of ancient texts based on feature fusion and semi-supervised clustering Open