I have data which contain access duration of each items. EX: t0~t4 is the access time duration. 1 means the item was accessed in the time duration, 0 means not. ID,t0,t1,t2,t3,t4 0,1,0,0,1 1,1,0,0,1 2,0,0,1,1 3,0,1,1,1
Can cluster the group which item will access for a continuous duration? Like above, ID=2,ID=3 are what I want. I try KMeans, DBSCAN but it seems doesn't well Is there any algo recommended? thx
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