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Fig. 4 | Journal of Activity, Sedentary and Sleep Behaviors

Fig. 4

From: Examining physical activity clustering using machine learning revealed a diversity of 24-hour step-counting patterns

Fig. 4

Scale effect evaluation by simulations. The effects of day and participant numbers on cluster identification were investigated. The effects of different numbers of days on identifying the numbers of step-counting patterns (A) and step behaviors (B). The effects of different numbers of participants on identifying the numbers of step-counting patterns (C) and step behaviors (D)

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