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0
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What is the R function to apply hierarchical clustering to a matrix of distance objects ?
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
datahandling-questions-answers
clustering-the-data-ensemble
clustering
clustering-algorithm
clustering-in-data-mining
clustering-machine-learning
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hierarchical-clustering
clustering-supervised
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0
votes
What is the R Function to divide a dataset into k clusters ?
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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clustering-the-data-ensemble
clustering
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0
votes
K Means algorithm assumes Eucledian Space/Distance
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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0
votes
Sampling is one technique to pick the initial k points in K Means Clustering
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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0
votes
The number of rounds for convergence in k means clustering can be lage
answered
Feb 3, 2020
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Clustering - The Data Ensemble
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0
votes
___________ is a way of finding the k value for k means clustering.
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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0
votes
_____________ is when points don't move between clusters and centroids stabilize.
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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clustering
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0
votes
The ______ is a visual representation of how the data points are merged to form clusters.
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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0
votes
___________ is the data point that is closest to the other point in the cluster.
answered
Feb 3, 2020
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Clustering - The Data Ensemble
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0
votes
___________ measures the goodness of a cluster
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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0
votes
What is the overall complexity of the the Agglomerative Hierarchical Clustering ?
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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0
votes
A centroid is a valid point in a non-Eucledian space
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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clustering-the-data-ensemble
clustering
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0
votes
___________ of two points is the average of the two points in Eucledian Space.
answered
Feb 3, 2020
in
Data Handling
DataHandling-questions-answers
0
votes
Unsupervised learning focuses on understanding the data and its underlying pattern.
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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clustering-the-data-ensemble
clustering
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clustering-machine-learning
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clustering-supervised
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clustering-mcq
0
votes
Members of the same cluster are far away / distant from each other .
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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clustering-the-data-ensemble
clustering
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clustering-in-data-mining
clustering-machine-learning
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clustering-supervised
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clustering-mcq
0
votes
___________ of a set of points is defined using a distance measure .
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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clustering
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clustering-mcq
0
votes
Which learning is the method of finding structure in the data without labels.
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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clustering
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0
votes
Each point is a cluster in itself. We then combine the two nearest clusters into one. What type of clustering does this represent ?
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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clustering
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clustering-mcq
0
votes
What is a preferred distance measure while dealing with sets ?
answered
Feb 3, 2020
in
Clustering - The Data Ensemble
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clustering
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0
votes
_____ are a collection of transactions bundled together to be added to a blockchain.
answered
Jan 31, 2020
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