[scikit-learn] Can cluster based on the continuous access duration of an item?

[lampahome]

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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