Clustering the ensemble | Fresco Play
Question 1: nan
Answer: nan
Question 2: Members of the same cluster are far away / distant from each other .
Answer: False
Question 3: unsupervised learning focuses on understanding the data and its underlying pattern.
Answer: True
Question 4: Each point is a cluster in itself. We then combine the two nearest clusters into one. What type of clustering does this represent ?
Answer: agglomerative
Question 5: What is a preferred distance measure while dealing with sets ?
Answer: jaccard
Question 6: Which learning is the method of finding structure in the data without labels.
Answer: unsupervised
Question 7: __________ measures the goodness of a cluster
Answer: cohesion
Question 8: A centroid is a valid point in a non-Eucledian space .
Answer: False
Question 9: ___________ of two points is the average of the two points in Eucledian Space.
Answer: centroid
Question 10: The ______ is a visual representation of how the data points are merged to form clusters.
Answer: dendogram
Question 11: What is the overall complexity of the the Agglomerative Hierarchical Clustering ?
Answer: o n 3
Question 12: ___________ is the data point that is closest to the other point in the cluster.
Answer: clusteroid
Question 13: Sampling is one technique to pick the initial k points in K Means Clustering
Answer: True
Question 14: The number of rounds for convergence in k means clustering can be lage
Answer: True
Question 15: Hierarchical Clustering is a suggested approach for Large Data Sets
Answer: False
Question 16: __________ is a way of finding the k value for k means clustering.
Answer: cross
Question 17: What is the R Function to divide a dataset into k clusters ?
Answer: kmeans
Question 18: _____________ is when points don't move between clusters and centroids stabilize.
Answer: Stationary
Question 19: K Means algorithm assumes Eucledian Space/Distance
Answer: True
Question 20: What is the R function to apply hierarchical clustering to a matrix of distance objects ?
Answer: None
Post a comment
Get your FREE PDF on "100 Ways to Try ChatGPT Today"
Generating link, please wait for: 60 seconds
Comments
Join the conversation and share your thoughts! Leave the first comment.