Name
Abstract | ||
|---|---|---|
Clustering is a typical unsupervised learning method applied to discover and analyze group structure in a set of observations. Among all of the clustering methods, mixture models have become one of the principal data mining approaches to explore various types of data and find the hidden structures. In real-time and large-scale applications, data instances are generated sequentially. Due to the nat... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISIE45552.2021.9576233 | 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) |
Keywords | DocType | ISSN |
Industrial electronics,Gradient methods,Smart buildings,Clustering algorithms,Estimation,Mixture models,Real-time systems | Conference | 2163-5137 |
ISBN | Citations | PageRank |
978-1-7281-9023-5 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Narges Manouchehri | 1 | 1 | 2.72 |
| Oumayma Dalhoumi | 2 | 0 | 0.34 |
| Manar Amayri | 3 | 0 | 4.39 |
| Nizar Bouguila | 4 | 1539 | 146.09 |