Podcast
Questions and Answers
Hierarchical clustering is a type of _______ technique.
Hierarchical clustering is a type of _______ technique.
- Dimensionality reduction
- Regression
- Classification
- Clustering (correct)
What is the main goal of hierarchical clustering?
What is the main goal of hierarchical clustering?
- To identify the optimal number of clusters
- To group similar objects into clusters (correct)
- To reduce the dimensionality of a dataset
- To predict a continuous output variable
Which of the following is NOT a characteristic of hierarchical clustering?
Which of the following is NOT a characteristic of hierarchical clustering?
- It can handle high-dimensional data
- It produces a dendrogram
- It assigns labels to each cluster
- It is a supervised learning technique (correct)
What is the typical output of hierarchical clustering?
What is the typical output of hierarchical clustering?
What is the advantage of using hierarchical clustering over k-means clustering?
What is the advantage of using hierarchical clustering over k-means clustering?
What is the primary objective of the least squares method in calculating the line of best fit?
What is the primary objective of the least squares method in calculating the line of best fit?
Which of the following is NOT a characteristic of the least squares method?
Which of the following is NOT a characteristic of the least squares method?
What is the consequence of using the least squares method on a dataset with outliers?
What is the consequence of using the least squares method on a dataset with outliers?
Why is the least squares method commonly used in regression analysis?
Why is the least squares method commonly used in regression analysis?
What is the advantage of using the least squares method over the mean absolute deviation method?
What is the advantage of using the least squares method over the mean absolute deviation method?
Study Notes
Calculating the Line of Best Fit using the Least Squares Method
- The line of best fit is calculated using the least squares method by minimizing the sum of the squares of the errors between the data points and the line of best fit.
- This method is represented by option c.
- The other options are incorrect:
- a. Minimizing the mean of the data set is not a criterion for the least squares method.
- b. Minimizing the sum of the absolute values of the errors is a different method, known as the least absolute deviations method.
- d. Minimizing the variance of the data set is not a direct method for calculating the line of best fit.
Hierarchical Clustering
- Hierarchical clustering is a type of clustering technique.
Least Squares Method
- The line of best fit is calculated using the least squares method by minimizing the sum of the squares of the errors between the data points and the line of best fit.
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Description
This quiz question asks about the type of technique that hierarchical clustering belongs to. It's a fundamental concept in data analysis and machine learning.
