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Web Science/Part2: Emerging Web Properties/Modelling Similarity of Text/Cosine Similarity For Vectorspaces/quiz

From Wikiversity

1

Calculate the scalar product between and .

9
10
14
54

2

What is true about the distance measures on vector spaces?

they can have arbitrary large distances
the cosine distance can be arbitrary large
the euclidean distance is bound to a value of
they can be transformed to a similarity measure