Results 71 to 80 of about 2,884,172 (338)
A Heuristic Approach to Possibilistic Clustering for Fuzzy Data
The paper deals with the problem of the fuzzy data clustering. In other words, objects attributes can be represented by fuzzy numbers or fuzzy intervals.
Dmitri A. Viattchenin
doaj
Fuzzy image segmentation using location and intensity information [PDF]
The segmentation results of any clustering algorithm are very sensitive to the features used in the similarity measure and the object types, which reduce the generalization capability of the algorithm.
Ali, M. Ameer +2 more
core
Fuzzy clustering with volume prototypes and adaptive cluster merging [PDF]
Two extensions to the objective function-based fuzzy clustering are proposed. First, the (point) prototypes are extended to hypervolumes, whose size can be fixed or can be determined automatically from the data being clustered.
Kaymak, U, Setnes, M
core +1 more source
Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser +6 more
wiley +1 more source
Improvement of the ANFIS-based wave predictor models by the Particle Swarm Optimization
In this paper, the Particle Swarm Optimization (PSO) algorithm is employed to deal with the Adaptive Network based Fuzzy Inference System (ANFIS) model drawbacks in prediction of wind –driven waves.
Morteza Zanganeh
doaj +1 more source
fclust: An R Package for Fuzzy Clustering
Fuzzy clustering methods discover fuzzy partitions where observations can be softly assigned to more than one cluster. The package fclust is a toolbox for fuzzy clustering in the R programming language.
M. Ferraro, P. Giordani, A. Serafini
semanticscholar +1 more source
A large number of MoS2 flakes were screened to obtain high‐quality flakes based on optical intensities in R, G, and B channel images. The flakes were classified from Level 1 to 6 based on optical intensities in the R, G, and B channel images. Low‐quality flake exhibited wrinkled, folded, or overlapped features, while high‐quality displayed a neat ...
Sanghyun Lee +11 more
wiley +1 more source
Bioengineered Lymphatic Vessels in Synthetic Matrices to Study Breast Cancer Cell Functions
Lymphatic vessels are involved in cancer metastasis. To study the interplay between metastasizing cancer cells and lymphatic vessels under highly reproducible conditions, advanced in vitro models are required. In this work, 3D lymphatic networks are formed in biomimetic hydrogels and their interactions with invasive and non‐invasive cancer cell‐lines ...
Rodi Odabasi +7 more
wiley +1 more source
Soft computing based geoelectrical data inversion differs from conventional computing in fixing the uncertainty problems. It is tractable, robust, efficient, and inexpensive.
A. Stanley Raj +2 more
doaj +1 more source
Tools for analysing fuzzy clusters of sequences data [PDF]
BACKGROUND: Sequence analysis is a set of tools increasingly used in demography and other social sciences to analyse longitudinal categorical data. Typically, single (e.g., education trajectories) or multiple parallel temporal processes (e.g., work and ...
Raffaella Piccarreta +1 more
doaj +1 more source

