On fly hybrid swarm optimization algorithms for clustering of streaming data
Clustering is an important data analysis technique for extracting knowledge and hidden patterns in the data. Recently hybrid clustering algorithms have been proposed to solve the local optimum and poor robustness problem due to improper selection of initial cluster centroids in the traditional clust...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Results in Control and Optimization |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666720722000625 |
| _version_ | 1811157890997682176 |
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| author | Yashaswini Gowda N. B.R. Lakshmikantha |
| author_facet | Yashaswini Gowda N. B.R. Lakshmikantha |
| author_sort | Yashaswini Gowda N. |
| collection | DOAJ |
| description | Clustering is an important data analysis technique for extracting knowledge and hidden patterns in the data. Recently hybrid clustering algorithms have been proposed to solve the local optimum and poor robustness problem due to improper selection of initial cluster centroids in the traditional clustering algorithms. In hybrid algorithms, clustering is solved as an optimization problem by invoking optimization algorithms to find the optimal cluster centroid. Many hybrid clustering algorithms integrating different swarm algorithms and traditional clustering algorithms have been proposed. However, these algorithms were not designed for the on-fly clustering of streaming data. This is necessary for real-time streaming requirements in financial domains like stock markets. This work proposes an on-fly hybrid swarm optimization algorithm for the clustering of streaming data. |
| first_indexed | 2024-04-10T05:15:11Z |
| format | Article |
| id | doaj.art-aa444009581247b99e62bef22a6cbbde |
| institution | Directory Open Access Journal |
| issn | 2666-7207 |
| language | English |
| last_indexed | 2024-04-10T05:15:11Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Control and Optimization |
| spelling | doaj.art-aa444009581247b99e62bef22a6cbbde2023-03-09T04:13:50ZengElsevierResults in Control and Optimization2666-72072023-03-0110100190On fly hybrid swarm optimization algorithms for clustering of streaming dataYashaswini Gowda N.0B.R. Lakshmikantha1Department of Electronics & Communication Engineering, DSCE, Visvesvaraya Technological University, Belagavi, India; Corresponding author.Dayananada Sagar Academy of Technology and Mgmt., Bangalore 82, IndiaClustering is an important data analysis technique for extracting knowledge and hidden patterns in the data. Recently hybrid clustering algorithms have been proposed to solve the local optimum and poor robustness problem due to improper selection of initial cluster centroids in the traditional clustering algorithms. In hybrid algorithms, clustering is solved as an optimization problem by invoking optimization algorithms to find the optimal cluster centroid. Many hybrid clustering algorithms integrating different swarm algorithms and traditional clustering algorithms have been proposed. However, these algorithms were not designed for the on-fly clustering of streaming data. This is necessary for real-time streaming requirements in financial domains like stock markets. This work proposes an on-fly hybrid swarm optimization algorithm for the clustering of streaming data.http://www.sciencedirect.com/science/article/pii/S2666720722000625Swarm intelligenceOptimizationStreaming dataData clusteringArtificial intelligence |
| spellingShingle | Yashaswini Gowda N. B.R. Lakshmikantha On fly hybrid swarm optimization algorithms for clustering of streaming data Results in Control and Optimization Swarm intelligence Optimization Streaming data Data clustering Artificial intelligence |
| title | On fly hybrid swarm optimization algorithms for clustering of streaming data |
| title_full | On fly hybrid swarm optimization algorithms for clustering of streaming data |
| title_fullStr | On fly hybrid swarm optimization algorithms for clustering of streaming data |
| title_full_unstemmed | On fly hybrid swarm optimization algorithms for clustering of streaming data |
| title_short | On fly hybrid swarm optimization algorithms for clustering of streaming data |
| title_sort | on fly hybrid swarm optimization algorithms for clustering of streaming data |
| topic | Swarm intelligence Optimization Streaming data Data clustering Artificial intelligence |
| url | http://www.sciencedirect.com/science/article/pii/S2666720722000625 |
| work_keys_str_mv | AT yashaswinigowdan onflyhybridswarmoptimizationalgorithmsforclusteringofstreamingdata AT brlakshmikantha onflyhybridswarmoptimizationalgorithmsforclusteringofstreamingdata |