What technique is used to measure the distance between the text vectors?Answer choicesSelect an optionEuclidean DistanceManhatten DistanceGower DistanceCosine similarity

Euclidean distance is most commonly used as a measure of distance between two objectsGroup of answer choicesTrueFalse

What is the main purpose of using distance metrics like dot product distance in vector search?Measure the distance between vectors in terms of semantic similarity.Index vectors efficiently in the search space.Generate new vectors from existing ones.Search for the top three nearest neighbors of a query vector.

Let us suppose that you have the following two 4-dimensional word vectors for two words, w1 and w2, respectively:  w1 =(0.2, 0.1, 0.3, 0.4) and w2 = (0.3, 0, 0.2, 0.5) What is the cosine similarity between w1 and w2?Question 6Answera.0.948b.0c. 0.832d.0.5

_________ vectors measure the distance from the starting point to its final destination.

Compare and contrast different similarity measures used in text clustering.