Python for Machine Learning - The Complete Beginners Course - Elbow Method

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Information Technology (IT), Architecture
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it crucial to choose the optimal number of clusters in the care means clustering algorithm?
To increase the number of centroids
To reduce the number of data points
To form highly efficient clusters
To ensure the algorithm runs faster
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method is highlighted as a popular way to find the optimal number of clusters?
Silhouette Method
Gap Statistic
Elbow Method
Hierarchical Clustering
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the elbow method primarily focus on when determining the number of clusters?
Maximizing the distance between clusters
Maximizing the number of clusters
Minimizing the number of centroids
Minimizing the within-cluster sum of squares
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a method to measure the distance between data points and centroids?
Hamming Distance
Euclidean Distance
Chebyshev Distance
Cosine Similarity
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Besides Euclidean distance, which other method can be used to measure the distance between data points and centroids?
Manhattan Distance
Jaccard Distance
Bray-Curtis Distance
Mahalanobis Distance
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