
Machine Learning - Clustering
Quiz
•
Computers
•
University
•
Practice Problem
•
Hard
irma wati
Used 2+ times
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10 questions
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1.
MULTIPLE SELECT QUESTION
30 sec • 1 pt
Here are some things that can be done with clustering:
Make predictions in numerical or categorical form
Finding patterns in data based on similarity
Exploratory Data Analysis
Outlier Detection
2.
OPEN ENDED QUESTION
3 mins • 1 pt
The basic differences between Clustering and Classification are:
Evaluate responses using AI:
OFF
3.
MULTIPLE SELECT QUESTION
30 sec • 1 pt
The calculation of the proximity between the centroid and cluster members can be measured using the following distance calculation methods:
Manhattan Distance
Euclidean Distance
Chebyshev Distance
Mahalanobis Distance
4.
MULTIPLE SELECT QUESTION
30 sec • 1 pt
Dbscan requires two parameters to run its model, namely:
K for n of cluster
R for radius of neighborhood
M for minimum number of neighbor
K for n of neighbor
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Clustering is part of the model of Machine Learning which can be grouped into Supervised Learning and Unsupervised Learning.
True
False
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
DBScan clustering is good for Spherical clusters.
True
False
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The use of clustering can be combined with classification, one of which is used for automated labeling of data.
True
False
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