Results 101 to 110 of about 3,548 (295)

Some classes of divergence measures between fuzzy subsets and between fuzzy partitions

, 1998
The aim of this paper is to present and study one important class of divergence measure between fuzzy subsets, and one important class of divergence measure between fuzzy partitions, each of them having some specific properties.
Montes Rodríguez, Susana, Gil Álvarez, Pedro Angel   +1 more
core   +1 more source

An extension of the Adjusted Rand Index for fuzzy partitions

, 2015
Invited talk: To compare clustering partitions, Rand index (RI) and Adjusted Rand index (ARI) are commonly used for measuring the agreement between partitions.
D'AMBROSIO, ANTONIO, Amodio S., IORIO, CARMELA, SICILIANO, ROBERTA   +3 more
core  

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Enhancing Atomic‐Resolution in Electron Microscopy: A Deep Learning Denoiser Operating in the Frequency Domain

Advanced Intelligent Systems, EarlyView.
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet, Marc Botifoll, Xuli Chen, Martin Børstad Eriksen, Jing Yu, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Jordi Arbiol   +8 more
wiley   +1 more source

Interval-valued picture fuzzy decision-making framework with partitioned maclaurin symmetric mean aggregation operators

Scientific Reports
Interval-valued picture fuzzy (IVPF) set is an extension of the picture fuzzy set theory used to represent uncertainty and vagueness in the processes of decision-making.
Muhammad Azeem, Jawad Ali, Jawad Ali, Muhammad I. Syam   +3 more
doaj   +1 more source

Fuzzy Divergence Weighted Ensemble Clustering With Spectral Learning Based on Random Projections for Big Data

IEEE Access
In many real-world applications, data are described by high-dimensional feature spaces, posing new challenges for current ensemble clustering methods.
Ines Lahmar, Aida Zaier, Mohamed Yahia, Tarig Ali, Ridha Boaullegue   +4 more
doaj   +1 more source

Multi-view clustering for mining heterogeneous social network data

, 2009
Paper presented at the Workshop on Information Retrieval over Social Networks, 31st European Conference on Information Retrieval (ECIR'09), Toulouse, France, April 6-9, 2009Uncovering community structure is a core challenge in social network analysis ...
Greene, Derek, Cunningham, Pádraig, Pádraig Cunningham, Derek Greene   +3 more
core  

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

A group decision making-based parallel multi-label feature selection for big data applications

Journal of King Saud University: Computer and Information Sciences
Extracting knowledge from data is challenging in real-world scenarios. Particularly in big data learning, the volume of the data is a significant challenge. Therefore, scalable feature selection algorithms are essential for datasets of this scale.
S. S. Mohanrasu, R. Rakkiyappan, Munkhjargal Gochoo   +2 more
doaj   +1 more source

A Dynamic Fuzzy Cluster Algorithm for Time Series

Abstract and Applied Analysis, 2013
This paper presents an efficient algorithm, called dynamic fuzzy cluster (DFC), for dynamically clustering time series by introducing the definition of key point and improving FCM algorithm.
Min Ji, Fuding Xie, Yu Ping
doaj   +1 more source