COSC-E4 CS Elective 4: Machine Learning Lesson 3 - Unsupervised Learning

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson
Download our mobile app to listen on the go
Get App

Questions and Answers

What is the Euclidean distance between the point (168, 60) and Cluster 2?

  • $14.14214$
  • $4.472$ (correct)
  • $20.808$
  • $7.211103$

What are the new coordinates of the cluster centroid for Cluster 2 after updating it?

  • (169, 58) (correct)
  • (179, 68)
  • (182, 70)
  • (185, 72)

What is the Euclidean distance between the point (179, 68) and Cluster 1?

  • $14.14214$
  • $52$
  • $7.211103$ (correct)
  • $200$

Which cluster is the point (179, 68) assigned to?

<p>Cluster 1 (A)</p> Signup and view all the answers

What are the new coordinates of the cluster centroid for Cluster 1 after updating it?

<p>(182, 70) (A)</p> Signup and view all the answers

What is the Euclidean distance between the point (182, 72) and Cluster 1?

<p>$2$ (B)</p> Signup and view all the answers

What distinguishes supervised learning from unsupervised learning?

<p>Use of labeled data (A)</p> Signup and view all the answers

Which type of learning is computationally more complex?

<p>Unsupervised learning (C)</p> Signup and view all the answers

What is the main task of clustering in unsupervised learning?

<p>Dividing data points into groups based on similarity (C)</p> Signup and view all the answers

Which algorithm partitions observations into clusters based on the nearest mean?

<p>K-Means clustering algorithm (D)</p> Signup and view all the answers

What method does K-Means algorithm use for distance calculation?

<p>Euclidean method (D)</p> Signup and view all the answers

What characteristic makes supervised learning more accurate than unsupervised learning?

<p>Use of labeled data (D)</p> Signup and view all the answers

What is the primary goal of unsupervised learning?

<p>To learn patterns and structures from unlabeled data (B)</p> Signup and view all the answers

Which of the following is an advantage of unsupervised learning?

<p>It minimizes the opportunity for human error (A)</p> Signup and view all the answers

What is a disadvantage of unsupervised learning?

<p>It does not consider spatial relationships in the data (A)</p> Signup and view all the answers

Which of the following is an example of unsupervised learning?

<p>Clustering algorithms (B)</p> Signup and view all the answers

In the context of unsupervised learning, what does 'unlabeled data' refer to?

<p>Data without any associated target variables (A)</p> Signup and view all the answers

Which of the following statements best describes the relationship between supervised and unsupervised learning?

<p>They are two distinct paradigms of machine learning (A)</p> Signup and view all the answers

What is the minimum number of points required for a point to be considered a Core Point in the Density-Based Clustering algorithm?

<p>3 (C)</p> Signup and view all the answers

What is the value of the $\epsilon$ parameter used in the Density-Based Clustering algorithm described in the text?

<p>1 cm (D)</p> Signup and view all the answers

What is the first step in the Density-Based Clustering algorithm described in the text?

<p>Pick a random point that has not yet been assigned to a cluster or designated as an Outlier (B)</p> Signup and view all the answers

What is done if a point is determined to not be a Core Point in the Density-Based Clustering algorithm?

<p>The point is labeled as an Outlier (A)</p> Signup and view all the answers

What is done once a Core Point has been found in the Density-Based Clustering algorithm?

<p>All directly reachable points are added to the cluster (B)</p> Signup and view all the answers

What is done if an Outlier is added to a cluster in the Density-Based Clustering algorithm?

<p>The Outlier is labeled as a border point (B)</p> Signup and view all the answers

What is the Euclidean distance between the point (182, 72) and the cluster centroid (169, 58) in the initial iteration?

<p>$\sqrt{169 + 196} = 19.10$ (D)</p> Signup and view all the answers

After assigning the point (188, 77) to Cluster 1, what are the new centroid coordinates for Cluster 1?

<p>(185, 74) (C)</p> Signup and view all the answers

Which of the following points is assigned to Cluster 2 in the final assignment?

<p>(170, 56) (B)</p> Signup and view all the answers

What is the Euclidean distance between the point (188, 77) and Cluster 2 centroid (169, 58)?

<p>$\sqrt{361 + 361} = 26.87$ (A)</p> Signup and view all the answers

Which of the following statements best describes density-based clustering methods?

<p>They consider clusters as dense regions with some similarities and differences from lower-density regions. (A)</p> Signup and view all the answers

What is the Euclidean distance between the point (188, 77) and Cluster 1 centroid (182, 71)?

<p>$\sqrt{36 + 36} = 8.49$ (B)</p> Signup and view all the answers

Flashcards are hidden until you start studying

More Like This

Use Quizgecko on...
Browser
Browser