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0
votes
Which of the following method is used for finding the optimal of a cluster in the K-Mean algorithm?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
k-mean
algorithm
0
votes
Feature scaling is an important step before applying the K-Mean algorithm. What is the reason behind this?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
feature
scaling
clusteing
0
votes
If two variables, V1 and V2, are used for clustering. Which of the following are true for K means clustering with k =3?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
clustering
k-mean-clustering
0
votes
Assume you want to cluster 7 observations into 3 clusters using the K-Means clustering algorithm. After first iteration, clusters C1, C2, C3 have following observations:
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
iteration
clusters
k-means
clustering
0
votes
Assume you want to cluster 7 observations into 3 clusters using the K-Means clustering algorithm. After the first iteration, clusters C1, C2, C3 have following observations:
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
clusteing
0
votes
The K-Means algorithm has some limitations. For example, it makes hard assignments (A point either completely belongs to a cluster or not belongs at all) of points to clusters.
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
clusterk-means
algorithm
0
votes
Which of the following is/are valid iterative strategies for treating missing values before clustering analysis?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
iterative
strategies
clusters
0
votes
What should be the best choice of no. of clusters based on the following results?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
clusters
0
votes
Which of the following clustering representations and dendrogram depicts the use of Ward’s method proximity function in hierarchical clustering?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
clustering
dendrogram
0
votes
Which of the following clustering representations and dendrogram depicts the use of the group average proximity function in hierarchical clustering?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
clustering
dendrogram
0
votes
Which of the following clustering representations and dendrogram depicts the use of MAX or complete link proximity function in hierarchical clustering?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
clustering
representations
0
votes
Which of the following clustering representations and dendrogram depicts the use of MIN or single link proximity function in hierarchical clustering?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
clustering
representations
dendrogram
proximity
function
0
votes
Which of the following is/are true?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
multicollinearity
features
clustering
0
votes
Which of the following metrics do we have for finding dissimilarity between two clusters in hierarchical clustering?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
metrics
hierarchical
clustering
0
votes
In which of the following cases will K-Means clustering fail to give good results?
answered
Mar 20, 2023
in
Clustering - The Data Ensemble
k-means
clustering
0
votes
Top Rated 50 Data Science Questions and Answers
answered
Feb 8, 2023
in
Data Science
data-science
questions-answers
0
votes
What is gradient descent?
answered
Feb 8, 2023
in
Data Science
gradient-descent
0
votes
What is Naive Bayes?
answered
Feb 8, 2023
in
Data Science
naive-bayes
0
votes
What is a support vector machine (SVM)?
answered
Feb 8, 2023
in
Data Science
support-vector-machine
svm
0
votes
What is the K-means clustering method?
answered
Feb 8, 2023
in
Data Science
k-means-clustering
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