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 ...
Nevertheless, this pioneering work represents the first attempt to tackle the problem from a novel perspective. Enclus20 is a subspace clustering method based on the CLIQUE algorithm. Unlike directly measuring coverage and density, Enclus calculates these characteristics using entropy. The algorithm ...
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 the original tiny YOLOv3 algorithm for detect...
A Novel Online Incremental and Decremental Learning Algorithm Based on Variable Support Vector Machine 2019 Chen et al. Cluster Computing - - Decremental Learning Making AI Forget You: Data Deletion in Machine Learning 2019 Ginart et al. NeurIPS - - Decremental Learning Lifelong Anomaly Detection Thr...
Outperforms SC3, SIMLR, hierarchical clustering, tSNE + k-means. Tested on 17 public datasets. Robust to dropouts. Compatible with (UMI-based) counts (per million), FPKM/RPKM, TPM. Methods detailing four algorithm steps (data partition, RP, weighted ensemble clustering, similarity-based meta-...
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 ...
When you create an Azure Storage account, Azure associates it with automatically generated primary and secondary access keys. When you set up a cloud witness for the first time, we recommend you use the primary access key. After that, you can use either the primary or secondary access key. ...
A novel validation algorithm allows for automated cell tracking and the extraction of biologically meaningful parameters. PLoS ONE6, e27315 (2011). Raza, S. E. A. et al. Micro-Net: a unified model for segmentation of various objects in microscopy images. Med. Image Anal.52, 160–173 (...
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...