我有一個緯度和經度對的數據幀.

這是我的數據幀外觀.

order_lat order_long

0 19.111841 72.910729

1 19.111342 72.908387

2 19.111342 72.908387

3 19.137815 72.914085

4 19.119677 72.905081

5 19.119677 72.905081

6 19.119677 72.905081

7 19.120217 72.907121

8 19.120217 72.907121

9 19.119677 72.905081

10 19.119677 72.905081

11 19.119677 72.905081

12 19.111860 72.911346

13 19.111860 72.911346

14 19.119677 72.905081

15 19.119677 72.905081

16 19.119677 72.905081

17 19.137815 72.914085

18 19.115380 72.909144

19 19.115380 72.909144

20 19.116168 72.909573

21 19.119677 72.905081

22 19.137815 72.914085

23 19.137815 72.914085

24 19.112955 72.910102

25 19.112955 72.910102

26 19.112955 72.910102

27 19.119677 72.905081

28 19.119677 72.905081

29 19.115380 72.909144

30 19.119677 72.905081

31 19.119677 72.905081

32 19.119677 72.905081

33 19.119677 72.905081

34 19.119677 72.905081

35 19.111860 72.911346

36 19.111841 72.910729

37 19.131674 72.918510

38 19.119677 72.905081

39 19.111860 72.911346

40 19.111860 72.911346

41 19.111841 72.910729

42 19.111841 72.910729

43 19.111841 72.910729

44 19.115380 72.909144

45 19.116625 72.909185

46 19.115671 72.908985

47 19.119677 72.905081

48 19.119677 72.905081

49 19.119677 72.905081

50 19.116183 72.909646

51 19.113827 72.893833

52 19.119677 72.905081

53 19.114100 72.894985

54 19.107491 72.901760

55 19.119677 72.905081

我想聚集這些彼此最近的點(距離200米)以下是我的距離矩陣.

from scipy.spatial.distance import pdist, squareform

distance_matrix = squareform(pdist(X, (lambda u,v: haversine(u,v))))

array([[ 0. , 0.2522482 , 0.2522482 , ..., 1.67313071,

1.05925366, 1.05420922],

[ 0.2522482 , 0. , 0. , ..., 1.44111548,

0.81742536, 0.98978355],

[ 0.2522482 , 0. , 0. , ..., 1.44111548,

0.81742536, 0.98978355],

...,

[ 1.67313071, 1.44111548, 1.44111548, ..., 0. ,

1.02310118, 1.22871515],

[ 1.05925366, 0.81742536, 0.81742536, ..., 1.02310118,

0. , 1.39923529],

[ 1.05420922, 0.98978355, 0.98978355, ..., 1.22871515,

1.39923529, 0. ]])

然后我在距離矩陣上應用DBSCAN聚類算法.

from sklearn.cluster import DBSCAN

db = DBSCAN(eps=2,min_samples=5)

y_db = db.fit_predict(distance_matrix)

我不知道如何選擇eps& min_samples值.它在一個星團中聚集了太遠的點.(距離約2公里)是因為它在聚類時計算歐氏距離？請幫忙.

總結

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