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- from fuzzywuzzy import fuzz
- import Levenshtein
- s1 = "abcd"
- s2 = "abcdefgh"
- print(fuzz.ratio(s1,s2))
- print(Levenshtein.ratio(s1,s2))
- print(Levenshtein.jaro("1abdd","1abbd"))
- print((4/5+4/5+4/4)/3)
- print((5/5+5/5+3/5)/3)
- from sklearn.cluster import KMeans
- km = KMeans(n_clusters=2)
- x = [[1,1,22,2,2,2,2],
- [3,1,22,2,2,2,2],
- [1.5,1,22,2,2,2,2]]
- km.fit(x)
- print(km.predict(x))
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