Under a Creative Commons license Open accessHighlights • A novel non-parametric clustering algorithm based on the concept of divide-and-merge. • Ability to discover both convex and non-convex shaped clusters. • Ability to discover clusters different in densities. • Ability to detect and...
Thus, we propose a novel clustering algorithm (called RNN-NSDC) in this paper, which is based on the natural reverse nearest neighbor structure. Firstly, we apply the reverse nearest neighbors in the algorithm to extract core objects. Secondly, our algorithm uses the neighbor structure ...
Article Open access Published: 15 September 2023 A novel subspace outlier detection method by entropy-based clustering algorithm Zheng Zuo, Ziqiang Li, Pengsen Cheng & Jian Zhao Scientific Reports volume 13, Article number: 15331 (2023) Cite this article 2314 Accesses 3 Citations Metrics ...
基于旋转最小-最大超盒的聚类算法超盒可融合度To resolve the problem that the traditional clustering algorithms cannot deal with the complicated data set, a novel clustering algorithm based\\|on rotated super\\|box is presented in this paper. This algorithm first uniforms the data set, then ...
Based on the problem of insufficient accuracy of the original tiny YOLOv3 algorithm for object detection in a lawn environment, an Optimized tiny YOLOv3 algorithm with less computation and higher accuracy is proposed. Three reasons affect the accuracy of
Open access 56,210 Views 2,483 CrossRef citations to date 0 Altmetric Listen Articles A novel swarm intelligence optimization approach: sparrow search algorithm Jiankai Xue & Bo Shen Pages 22-34 | Received 02 Nov 2019, Accepted 20 Dec 2019, Published online: 03 Jan 2020 Cite this ...
This paper presents a novel bio-inspired optimization algorithm called Rat Swarm Optimizer (RSO) for solving the challenging optimization problems. The main inspiration of this optimizer is the chasing and attacking behaviors of rats in nature. This paper mathematically models these behaviors and bench...
A novel hybrid predictive maintenance model based on clustering, smote and multi-layer perceptron neural network optimised with grey wolf algorithmResearch Article Open access Published: 30 April 2021 Volume 3, article number 593, (2021) Cite this article ...
In this work, we propose and analyse a novel algorithm for clustering. The proposed algorithm is primarily based on morphological reconstructions, and we are the first to extend the reconstruction operation to a solid clusterization algorithm. According to the no free lunch theorem [36], there is...
A novel density-based clustering algorithm using nearest neighbor graph 2020, Pattern Recognition Show abstract Fast and general density peaks clustering 2019, Pattern Recognition Letters Citation Excerpt : We use three datasets that the original density peaks is known to succeed: Flame [2], Aggregatio...