A robust alternating least squares K-means clustering approach for times series using dynamic time warping dissimilarities
Time series clustering is a usual task in many different areas. Algorithms such as K-means and model-based clustering procedures are used relating to multivariate assumptions on the datasets, as the consideration of Euclidean distances, or a probabilistic distribution of the observed variables. Howe...
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| 格式: | 文件 |
| 语言: | English |
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AIMS Press
2024-02-01
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| 丛编: | Mathematical Biosciences and Engineering |
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| 在线阅读: | https://www.aimspress.com/article/doi/10.3934/mbe.2024160?viewType=HTML |