Recent Techniques of Clustering of Time Series Data: A Survey
Article Properties
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DOI (url)
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Publication Date2012/08/30
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Indian UGC (journal)
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Citations67
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Sangeeta Rani
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Geeta Sikka
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Time Series Overlapping Clustering Based on Link Community Detection | IEEE Access |
| 2024 | |
| A Trend-Granulation-Based Fuzzy C-Means Algorithm for Clustering Interval-Valued Time Series | IEEE Transactions on Fuzzy Systems |
| 2024 | |
Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions Calibration | Future Transportation |
| 2024 | |
Uncovering spatiotemporal micromobility patterns through the lens of space–time cubes and GIS tools | Journal of Geographical Systems |
| 2 | 2023 |
Time series clustering using trend, seasonal and autoregressive components to identify maximum temperature patterns in the Iberian Peninsula | Environmental and Ecological Statistics |
| 2023 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 21
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique and was published in 2014. The most recent citation comes from a 2024 study titled Time Series Overlapping Clustering Based on Link Community Detection. This article reached its peak citation in 2022, with 14 citations. It has been cited in 55 different journals, 32% of which are open access. Among related journals, the IEEE Access cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.