Podcast
Questions and Answers
What is the goal of k-means cluster analysis?
What is the goal of k-means cluster analysis?
- Maximize both within-cluster and between-cluster similarities
- Minimize both within-cluster and between-cluster similarities
- Maximize between-cluster similarities and minimize within-cluster similarities
- Maximize within-cluster similarities and minimize between-cluster similarities (correct)
What type of machine learning technique is k-means clustering?
What type of machine learning technique is k-means clustering?
- Supervised
- Semi-supervised
- Unsupervised (correct)
- Reinforcement
In k-means clustering, what are the cases (rows) referred to as?
In k-means clustering, what are the cases (rows) referred to as?
- Clusters
- Measurements
- Variables
- Participants (correct)
What problem does k-means clustering aim to solve?
What problem does k-means clustering aim to solve?
What kind of problem is k-means clustering considered to be?
What kind of problem is k-means clustering considered to be?
What type of studies often include psychometric measurements such as anxiety, depression, linguistic background, and attitudes?
What type of studies often include psychometric measurements such as anxiety, depression, linguistic background, and attitudes?
Which method is considered insufficient or not applicable for evaluating and improving psychometric scales?
Which method is considered insufficient or not applicable for evaluating and improving psychometric scales?
What does PCA (principal component analysis) help in identifying?
What does PCA (principal component analysis) help in identifying?
What does reliability analysis assess in a scale?
What does reliability analysis assess in a scale?
What is the primary focus of the course mentioned in the text?
What is the primary focus of the course mentioned in the text?
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