Extract the bag-of-words (BoW) histogram feature vectors from the following text samples: 1) The car is red 2) The red car is fast 3) The family has a big house 4) The family owns the house and the car Ignore articles, verbs, and conjunctions in your BoW. Remember to normalize the feature vectors.

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Extract the bag-of-words (BoW) histogram feature vectors from the
following text samples:
1) The car is red
2) The red car is fast
3) The family has a big house
4) The family owns the house and the car
Ignore articles, verbs, and conjunctions in your BoW. Remember to
normalize the feature vectors.
Transcribed Image Text:Extract the bag-of-words (BoW) histogram feature vectors from the following text samples: 1) The car is red 2) The red car is fast 3) The family has a big house 4) The family owns the house and the car Ignore articles, verbs, and conjunctions in your BoW. Remember to normalize the feature vectors.
Consider the dataset given by the feature vectors
[1,1],[1, 3]T, [2, 3], [2, 0]T
and the centroids C₁ = [1.5, 1.5] and C₂ = [1.5, 2.5]¹. Run K-means
until convergence. Which of the following is the final value of the
centroids? Write the number of the correct answer below.
C₁ = [1.5, 1]
O C1
O c₁ = [2, 1]
and c₂ = [1.5, 3]T
and c₂ = [1.5, 3]T
C₁ = [2, 1]
C₁ = [2, 0.5]
O c₁ = [1.5, 0.5]
O C₁ = [1.5, 0.5]
and c₂ = [1.5, 2.5]
and c₂ = [1.5, 3]T
and c₂
[1.5, 3]T
and c₂
=
=
[1.5, 2.5]T
Transcribed Image Text:Consider the dataset given by the feature vectors [1,1],[1, 3]T, [2, 3], [2, 0]T and the centroids C₁ = [1.5, 1.5] and C₂ = [1.5, 2.5]¹. Run K-means until convergence. Which of the following is the final value of the centroids? Write the number of the correct answer below. C₁ = [1.5, 1] O C1 O c₁ = [2, 1] and c₂ = [1.5, 3]T and c₂ = [1.5, 3]T C₁ = [2, 1] C₁ = [2, 0.5] O c₁ = [1.5, 0.5] O C₁ = [1.5, 0.5] and c₂ = [1.5, 2.5] and c₂ = [1.5, 3]T and c₂ [1.5, 3]T and c₂ = = [1.5, 2.5]T
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