Results 31 to 40 of about 843,626 (294)

Research on stress curve clustering algorithm of Fiber Bragg grating sensor

Scientific Reports, 2023
The global stress distribution and state parameter analysis of the building's main structure is an urgent problem to be solved in the online state assessment technology of building structure health.
Yisen Lin, Ye Wang, Huichen Qu, Yiwen Xiong   +3 more
doaj   +1 more source

A survey of kernel and spectral methods for clustering [PDF]

, 2007
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with a special interest in two recent approaches: kernel and spectral methods ...
Aizerman, Aronszajn, Belkin, Bengio, Bezdek, Bishop, Burges, Camastra, Chan, Chen, Chiang, Cortes, Cristianini, Cristianini, Dhillon, Dhillon, Donath, Duda, Fiedler, Fisher, Francesco Camastra, Francesco Masulli, Gersho, Girolami, Golub, Have, Horn, Huber, Hur, Jain, Kernighan, Kluger, Kohonen, Kohonen, Krishnapuram, Krishnapuram, Kulis, Lee, Leski, Linde, Lloyd, Martinetz, Maurizio Filippone, Mercer, Müller, Ng, Ritter, Rose, Roth, Roweis, Saitoh, Schölkopf, Schölkopf, Shi, Sigillito, Sneath, Stefano Rovetta, Tax, Vapnik, von Luxburg, Ward, Weston, Wolberg, Xu, Zhang   +64 more
core   +6 more sources

Metaheuristics for clustering problems

, 2023
Data clustering is an essential, unsupervised classification method for discovering hidden patterns or information of a dataset. The literature shows metaheuristics are a reliable alternative to conventional clustering algorithms for data clustering problems. In this chapter, we compare 12 metaheuristics in this area.
Gharehchopogh, FS, Abdollahzadeh, B, Khodadadi, N, Mirjalili, S   +3 more
openaire   +2 more sources

The cluster problem revisited [PDF]

Journal of Global Optimization, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wechsung, Achim, Schaber, Spencer D., Barton, Paul I.   +2 more
openaire   +3 more sources

A New Heuristic for the Data Clustering Problem

IEEE Access, 2017
This paper presents a new heuristic for the data clustering problem. It comprises two parts. The first part is a greedy algorithm, which selects the data points that can act as the centroids of well-separated clusters.
Umair F. Siddiqi, Sadiq M. Sait
doaj   +1 more source

Clustering of Road Traffic Accidents as a Gestalt Problem

Applied Sciences, 2022
This paper introduces and illustrates an approach to automatically detecting and selecting “critical” road segments, intended for application in circumstances of limited human or technical resources for traffic monitoring and management.
Milan Gnjatović, Ivan Košanin, Nemanja Maček, Dušan Joksimović   +3 more
doaj   +1 more source

Models for the study of prospects for the development of the aviation industry

Adaptivni Sistemi Avtomatičnogo Upravlinnâ
 The article deals with the problem of prospects for the development of the aviation industry in the world. In such a large industry, it is simply necessary to analyze trends in detail to improve logistics and increase profits.
Д. Тарасьонок, Т. Ліхоузова   +1 more
doaj   +1 more source

EHR problem list clustering for improved topic-space navigation

BMC Medical Informatics and Decision Making, 2019
Background The amount of patient-related information within clinical information systems accumulates over time, especially in cases where patients suffer from chronic diseases with many hospitalizations and consultations. The diagnosis or problem list is
Markus Kreuzthaler, Bastian Pfeifer, Jose Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz   +8 more
doaj   +1 more source

Constructive Genetic Algorithm for Clustering Problems [PDF]

Evolutionary Computation, 2001
Genetic algorithms (GAs) have recently been accepted as powerful approaches to solving optimization problems. It is also well-accepted that building block construction (schemata formation and conservation) has a positive influence on GA behavior. Schemata are usually indirectly evaluated through a derived structure.
L A, Lorena, J C, Furtado
openaire   +2 more sources

Stas crossover with K-mean clustering for vehicle routing problem with time window [PDF]

Decision Science Letters
Vehicle Routing Problem (VRP) is important in the transportation and logistics industries. Vehicle Routing Problem with Time Window (VRPTW) is a kind of VRP with the additional time windows constraint in the model and is classified as an NP-hard
Ratchadakorn Poohoi, Kanate Puntusavase, Shunichi Ohmori   +2 more
doaj   +1 more source