Table 3 Analysis of unsupervised learning methods for different clustering algorithms on the given dataset over different sequence lengths
From: Automated identification of Shankha Prakshalana yoga poses with machine learning techniques
Models | Accuracy (%) | |||||
|---|---|---|---|---|---|---|
seq_len = 5 | seq_len = 10 | seq_len = 15 | seq_len = 20 | seq_len = 25 | seq_len= 30 | |
Agglomerative | 0.262 | 0.277 | 0.273 | 0.265 | 0.251 | 0.260 |
GMM | 0.267 | 0.246 | 0.270 | 0.245 | 0.259 | 0.272 |
KMeans | 0.288 | 0.261 | 0.248 | 0.274 | 0.268 | 0.279 |