Table 3.

Sampled cluster centers / representation

Vertex	Acceleration	Steps	Magnitude of acceleration	Inclinometer	Light
0	(257, 264, 365)	2	1736	Sitting	0
1	(523, 513, 686)	8	25	Standing	NA
2	(16, 13, 25)	0	806	Lying	NA
3	(802, 930, 991)	6	417	Inactive	NA
4	NA	12	1208	NA	NA
5	NA	4	NA	NA	NA

The entries in the the columns of acceleration, steps, magnitude of acceleration, and light represent the values of cluster centers for each cluster; and the entries in inclinometer represent the label of each vertex. To transfer time series data to the graphs, we firstly applied G-means clustering to automatically generate the best cluster allocation. For example, the optimal number of clusters for acclerometer is 4 and the optimal number of clusters for light is 1, which could because the light sensor did not have too much variations during a day and the patients spend most of the times in the hospitals