Fuzzy Clustering Using the Convex Hull as Geometrical Model
A new approach to fuzzy clustering is proposed in this paper. It aims to relax some constraints imposed by known algorithms using a generalized geometrical model for clusters that is based on the convex hull computation.
Luca Liparulo +2 more
doaj +1 more source
Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans
This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang +17 more
wiley +1 more source
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation. [PDF]
Manoharan H +5 more
europepmc +1 more source
Bioinspired Tissue Transparency: Achieving Sclera‐to‐Cornea Transplantation
A bioinspired decellularization‐compression‐locking tactic (DCLT) is developed to transform human sclerae into transparent corneal substitutes. These clear, robust, and pro‐regenerative substitutes are capable of repairing complex corneal injuries, including chemical burns, keratoconus, and penetrating wounds, demonstrating their clinical potential to ...
Xiuli Sun +8 more
wiley +1 more source
Strongly transitive fuzzy relations: A more adequate way to describe similarity [PDF]
The notion of a transitive closure of a fuzzy relation is very useful for clustering in pattern recognition, for fuzzy databases, etc. It is based on translating the standard definition of transitivity and transitive closure into fuzzy terms.
Kreinovich, Vladik YA.
core +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
Fuzzy clustering algorithm for university students' psychological fitness and performance detection. [PDF]
Han H.
europepmc +1 more source
Citation: 'fuzzy clustering' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10127 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire +1 more source
Fuzzy Subspace Clustering [PDF]
In clustering we often face the situation that only a subset of the available attributes is relevant for forming clusters, even though this may not be known beforehand. In such cases it is desirable to have a clustering algorithm that automatically weights attributes or even selects a proper subset.
openaire +1 more source
His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models
His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li +13 more
wiley +1 more source

