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Recent questions tagged DataHandling-questions-answers
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DataHandling-questions-answers
0
votes
List the supervised and unsupervised tasks in Deep Learning.
asked
Nov 2, 2020
in
Data Handling
by
AdilsonLima
#deep-learning
datahandling-questions-answers
0
votes
What is the difference between a Perceptron and Logistic Regression in Digital learning?
asked
Nov 2, 2020
in
Data Handling
by
AdilsonLima
#digital-learning
datahandling-questions-answers
+1
vote
_________ uses system of color coding to represent different values.
asked
Feb 11, 2020
in
Storytelling with Data
by
miceperry
datahandling-questions-answers
+1
vote
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
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
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
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
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
+1
vote
___________ 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
0
votes
_____________ 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
0
votes
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
___________ 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
___________ measures the goodness of a 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
What is the overall complexity of the the Agglomerative Hierarchical 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
A centroid is a valid point in a non-Eucledian space
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
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
+1
vote
Members of the same cluster are far away / distant from each other .
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
___________ of a set of points is defined using a distance measure .
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
Which learning is the method of finding structure in the data without labels.
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
Each point is a cluster in itself. We then combine the two nearest clusters into one. What type of clustering does this represent ?
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
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