Home
Recent Q&A
Java
Cloud
JavaScript
Python
SQL
PHP
HTML
C++
Data Science
DBMS
Devops
Hadoop
Machine Learning
Azure
Blockchain
Devops
Ask a Question
Which learning is the method of finding structure in the data without labels.
Home
Clustering - The Data Ensemble
Which learning is the method of finding structure in the data without labels.
+1
vote
asked
Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
recategorized
May 7, 2022
by
sharadyadav1986
Which learning is the method of finding structure in the data without labels.
Select the correct answer from below
a) Active
b) Passive
c) Unsupervised
d) Supervised
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
types-of-clustering
hierarchical-clustering
clustering-supervised
clustering-unsupervised
clustering-mcq
Please
log in
or
register
to answer this question.
1
Answer
0
votes
answered
Feb 3, 2020
by
MBarbieri
edited
May 7, 2022
by
sharadyadav1986
Unsupervised learning
is the method of
finding structure in the data
without labels.
Related questions
+1
vote
Q: ___________ is a way of finding the k value for k means clustering.
asked
Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
types-of-clustering
hierarchical-clustering
clustering-supervised
clustering-unsupervised
clustering-mcq
+1
vote
Q: Unsupervised learning focuses on understanding the data and its underlying pattern.
asked
Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
types-of-clustering
hierarchical-clustering
clustering-supervised
clustering-unsupervised
clustering-mcq
0
votes
Q: The ______ is a visual representation of how the data points are merged to form clusters.
asked
Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
types-of-clustering
hierarchical-clustering
clustering-supervised
clustering-unsupervised
clustering-mcq
0
votes
Q: ___________ is the data point that is closest to the other point in the cluster.
asked
Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
types-of-clustering
hierarchical-clustering
clustering-supervised
clustering-unsupervised
clustering-mcq
+1
vote
Q: What is the R function to apply hierarchical clustering to a matrix of distance objects ?
asked
Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
types-of-clustering
hierarchical-clustering
clustering-supervised
clustering-unsupervised
clustering-mcq
+1
vote
Q: What is the R Function to divide a dataset into k clusters ?
asked
Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
types-of-clustering
hierarchical-clustering
clustering-supervised
clustering-unsupervised
clustering-mcq
+1
vote
Q: K Means algorithm assumes Eucledian Space/Distance
asked
Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
types-of-clustering
hierarchical-clustering
clustering-supervised
clustering-unsupervised
clustering-mcq
+1
vote
Q: Sampling is one technique to pick the initial k points in K Means Clustering
asked
Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
types-of-clustering
hierarchical-clustering
clustering-supervised
clustering-unsupervised
clustering-mcq
+1
vote
Q: The number of rounds for convergence in k means clustering can be lage
asked
Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
types-of-clustering
hierarchical-clustering
clustering-supervised
clustering-unsupervised
clustering-mcq
0
votes
Q: _____________ is when points don't move between clusters and centroids stabilize.
asked
Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
types-of-clustering
hierarchical-clustering
clustering-supervised
clustering-unsupervised
clustering-mcq
...
