Module 6 Flashcards
Which statement is correct?
Answers:
a.
choice of metric will influence the shape of the clusters
b.
choice of initial centroids will influence the result
c.
in general, the merges and splits in hierarchical clustering are determined in a greedy manner
d.
All of the above
d.
All of the above
Which of the following is true about kernels in SVM?
1. kernel function maps low dimensional data to high dimensional space
2. Kernel is a similarity function
Answers:
a.
1
b.
2
c.
1 and 2
d.
None of the above
c.
1 and 2
K-means is a supervised machine learning algorithm
true or false
false
Which of the following is required by k-means clustering ?
Answers:
a.
defined distance metric
b.
number of clusters
c.
initial guess of centroids
d.
all of the above
d.
all of the above
Support vectors are the data points that lie closest to the decision surface.
True or False
True
The effectiveness of SVM depends on:
Answers:
a.
selection of kernel
b.
kernel parameters
c.
soft margin parameter C
d.
all of the above
d.
all of the above
Which statement is incorrect?
Answers:
a.
k-means clustering is a method of vector quantization
b.
k-means clustering aims to partition n observations into k clusters
c.
k-nearest neighbor is same as k-means
d.
all of the above
c.
k-nearest neighbor is same as k-means
What does hard margin mean in SVM?
a.
Allowing very low error in classification
b.
Allowing high amount of error in classification
c.
None of the above
a.
Allowing very low error in classification
What is generalization error in terms of the SVM?
Answers:
a.
How accurately the SVM can predict outcomes for unseen data
b.
How far the hyperplane is from the support vectors
c.
The threshold amount of error in an SVM
a.
How accurately the SVM can predict outcomes for unseen data
K-means is not deterministic and it also consist of number of iterations.
True or False
True
