Schikuta E,Erhart M.Bang-Clustering:A novel grid-clustering algorithm for huge data sets.Proc of the 2nd Int Workshop on Statistical Techniques in Pattern Recognition. 1998Schikuta E,Erhart M. Bang-Clustering:A novel gridclustering algorithm for huge data sets[A].Beilin:Springer-Verlag,1998.867...
In this paper, a novel non-parametric clustering algorithm which is based on the concept of divide-and-merge is proposed. The proposed algorithm is based on two primary phases, after data cleaning: (i) the Division phase and (ii) the Merging phase. In the initial phase of division, the ...
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 2131 Accesses Metrics details Abstract Subspace outlier detection has emerged as a practical...
we propose a hierarchical clustering algorithm based on a recursive grid partition and kernel density estimation (KDE) to hierarchically identify wild bird habitats with different densities. We hierarchically cluster the GPS data by taking into account the following observations: 1) the habitat variation...
A novel parallel clustering method: the Weight Recombining (WR) PSOM In order to parallelize the Kohonen’s algorithm we propose an approach based on data partition and Weight Recombining (WR) to be executed in a master–slave computing environment that greatly decreases the communication overhead....
A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate
2016-Adaptive Clustering for Contour Estimation of Vehicles for High-Resolution Radar Paper 2012- Grid-Based DBSCAN for Clustering Extended Objects in Radar Data Paper Denoising Deep Convolutional Autoencoder Applied for Noise Reduction in Range-Doppler Maps of FMCW Radars Learning from Natural Noise to...
The SOMs were built on the training data of each aliquot using the Matlab toolbox for SOMs16, with the same default setting as flowSOM10, including the Euclidian distance, a grid size of 10 by 10 nodes, and the batch training algorithm with a number of steps 10 times greater than the...
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 ...
Zhou, H. A Novel Approach to Cloud Resource Management: Hybrid Machine Learning and Task Scheduling. J Grid Computing 21, 68 (2023). https://doi.org/10.1007/s10723-023-09702-w Download citation Received07 May 2023 Accepted15 October 2023 Published13 November 2023 DOIhttps://doi.org/10.1007...