This poses challenges in computing similarity between cells, as some genes may be expressed at low levels or even absent in many cells, yet these genes may be crucial for distinguishing cell types. Moreover, in high-dimensional spaces, traditional distance metrics for calculating cell-to-cell ...
step by step, based on the information acquired up to the current step. Specifically, whenarrives at stept, the algorithm first creates a singleton clique. Then it is allowed to merge any number of cliques (possibly none) in its current partitioning into larger cliques. No other...
Journal 2022, Applied Soft ComputingAyokunle Olalekan Ige, Mohd Halim Mohd Noor Chapter 28th European Symposium on Computer Aided Process Engineering 3.1 Clustering of Complex Substances In this study, we use hierarchical clustering with 3 distinct agglomeration methods, i.e. Ward’s method, average ...
Although they aim at different objectives, WSN MANET has both investigated the clustering of intelligent computing devices [86]. Various techniques are available in WSNs, which can be classified based on the architecture, model, performance of the network, and the purpose of grouping the nodes to...
In: International conference on artificial intelligence and soft computing. Springer, Berlin, pp 281–288 Google Scholar Beltrán B, Vilariño D (2020) Survey of overlapping clustering algorithms. Comput Sist 24:575–581 Google Scholar Bose I, Chen X (2015) Detecting the migration of mobile ...
, Innovation Fund of Institute of Computing and Technology, CAS (E161080 and E161030, Yi Zhao) and Beijing Natural Science Foundation Haidian Origination and Innovation Joint Fund (L222007, Yi Zhao). This work was also supported by Shanghai Municipal Science and Technology Major Project (no. ...
One feature of cloud storage systems is data fragmentation (or sharding) so that data can be distributed over multiple servers and subqueries can be run in parallel on the fragments. On the other hand, flexible query answering can enable a database system to find related information for a user...
Engineering Applications of Artificial IntelligenceJournal2021,Engineering Applications of Artificial Intelligence KeyvanGolalipour, ...RasulEnayatifar 4.1.1Different clustering algorithms To create different and sporadic results of a data set, the easiest way is the use of variousclustering algorithms. Every...
Accept all cookies Log in Find a journalPublish with usTrack your research Search Cart Abstract The majority of the data produced by human activities and modern cyber-physical systems involve complex relations among their features. Such relations can be often represented by means of tensors, which...
Journal 2023,Expert Systems with Applications OnurSurucu, ...JohnYawney Mini review Machine learning applications in power system fault diagnosis: Research advancements and perspectives 5.1.1.1K-means. TheK-means clusteringprovides fast clustering of large data sets and is preferred when the number of ...