Abstract
Clustering algorithm, which is a statistical analysis method for research in classifications, plays an important role in data mining algorithm. Clustering algorithm based on similarity, and is easy to combine with other methods in optimization. In this review, signal clustering algorithm is introduced by discussing of the clustering parametric in different signal clustering algorithms. In order to develop traditional algorithm, we introduce a series of improvement, development and application of the methods in recent years. Finally, we make an outlook of the future direction and content of the research in this field.
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This work is financially supported by the National Natural Science Foundation of China (Grant No. 41572347).
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Deng, C., Qi, J., Li, M., Luo, X. (2016). Application Progress of Signal Clustering Algorithm. In: Che, W., et al. Social Computing. ICYCSEE 2016. Communications in Computer and Information Science, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-10-2053-7_20
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DOI: https://doi.org/10.1007/978-981-10-2053-7_20
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