Partitional data clustering with K-means algorithm is the dividing of objects into smaller and disjoint groups that has the most similarity with objects in a group and most dissimilarity from …
F Hafiz, A Abdennour - Expert Systems with Applications, 2016 - Elsevier
Abstract The Quadratic Assignment Problem (QAP) has attracted considerable research efforts due to its importance for a number of real life problems, in addition to its …
S Saha, R Das - Neural Computing and Applications, 2018 - Springer
In the current paper, we have developed two bio-inspired fuzzy clustering algorithms by incorporating the optimization techniques, namely differential evolution and particle swarm …
W Yan, MJ Li, YC Zhong, CY Qu, GX Li - IEEE Access, 2020 - ieeexplore.ieee.org
The practical driving cycle is of great significance in studying the control strategy of vehicles, and effective clustering of micro-trips is the key to obtaining the typical driving cycle. A novel …
H Iima, Y Kuroe - 2015 IEEE Congress on Evolutionary …, 2015 - ieeexplore.ieee.org
In this paper, we treat a multi-robot formation problem. In this problem, multiple robots move from their respective initial positions, and they achieve to make a given target formation by …
L Zhang, B Li, Y Liu, X Zhao, Y Wang, J Wu - Electronics, 2020 - mdpi.com
With the rapid development of the Internet, malware traffic is seriously endangering the security of cyberspace. Convolutional neural networks (CNNs)-based malware traffic …
SP Nehete, SR Devane - International Journal of Computer …, 2022 - inderscienceonline.com
Recommendation Systems (RS) save the time of users in their hectic life schedules for purchasing their interested products. RS faces challenges of data sparsity, cold start …
A Bouyer - Foundations of Computing and Decision Sciences, 2016 - intapi.sciendo.com
Among the data clustering algorithms, k-means (KM) algorithm is one of the most popular clustering techniques due to its simplicity and efficiency. However, k-means is sensitive to …
Among the data clustering algorithms, the k-means (KM) algorithm is one of the most popular clustering techniques because of its simplicity and efficiency. However, KM is …