Table 1.
Dataset details.
Fig 1.
A warping between two time series.
Table 2.
Dataset details.
Table 3.
Comparison of the Single-Pass fuzzy clustering algorithms in terms of F-Measure and Entropy.
The bold values highlight the best results obtained in each case.
Table 4.
Comparison of the Online fuzzy clustering algorithms in terms of F-Measure and Entropy.
The bold values highlight the best results obtained in each case.
Fig 2.
Random example time series from 4 classes of the TR dataset.
Fig 3.
Random example time series from 6 classes of the SY dataset.
Fig 4.
Medoids of the TR dataset using (a) spFCM, (b) spFCMdd, (c) spFDTW, (d) oFCM, (e) oFCMdd, (f) oFDTW and (g) FCMddDTW.
Fig 5.
Medoids of the SY dataset using (a) spFCM, (b) spFCMdd, (c) spFDTW, (d) oFCM, (e) oFCMdd, (f) oFDTW and (g) FCMddDTW.
Fig 6.
Comparison of the Single-Pass fuzzy clustering algorithms in terms of p-value on two datasets, (a) TR and (b) SY.
Fig 7.
Comparison of the Single-Pass fuzzy clustering algorithms in terms of -Log10(CS).
Fig 8.
Comparison of the Online fuzzy clustering algorithms in terms of p-value on two datasets, (a) TR and (b) SY.
Fig 9.
Comparison of the Online fuzzy clustering algorithms in terms of -Log10(CS).