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Top 100+ questions and answers in Clustering - The Data Ensemble
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Clustering - The Data Ensemble
0
votes
Q: Which of the following method is used for finding the optimal of a cluster in the K-Mean algorithm?
answered
Mar 20
in
Clustering - The Data Ensemble
by
john ganales
k-mean
algorithm
0
votes
Q: Feature scaling is an important step before applying the K-Mean algorithm. What is the reason behind this?
answered
Mar 20
in
Clustering - The Data Ensemble
by
john ganales
feature
scaling
clusteing
0
votes
Q: 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
in
Clustering - The Data Ensemble
by
john ganales
clustering
k-mean-clustering
0
votes
Q: 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
in
Clustering - The Data Ensemble
by
john ganales
iteration
clusters
k-means
clustering
0
votes
Q: 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
in
Clustering - The Data Ensemble
by
john ganales
clusteing
0
votes
Q: 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
in
Clustering - The Data Ensemble
by
john ganales
clusterk-means
algorithm
0
votes
Q: Which of the following is/are valid iterative strategies for treating missing values before clustering analysis?
answered
Mar 20
in
Clustering - The Data Ensemble
by
john ganales
iterative
strategies
clusters
0
votes
Q: What should be the best choice of no. of clusters based on the following results?
answered
Mar 20
in
Clustering - The Data Ensemble
by
john ganales
clusters
0
votes
Q: Which of the following clustering representations and dendrogram depicts the use of Ward’s method proximity function in hierarchical clustering?
answered
Mar 20
in
Clustering - The Data Ensemble
by
john ganales
clustering
dendrogram
0
votes
Q: Which of the following clustering representations and dendrogram depicts the use of the group average proximity function in hierarchical clustering?
answered
Mar 20
in
Clustering - The Data Ensemble
by
john ganales
clustering
dendrogram
0
votes
Q: Which of the following clustering representations and dendrogram depicts the use of MAX or complete link proximity function in hierarchical clustering?
answered
Mar 20
in
Clustering - The Data Ensemble
by
john ganales
clustering
representations
0
votes
Q: Which of the following clustering representations and dendrogram depicts the use of MIN or single link proximity function in hierarchical clustering?
answered
Mar 20
in
Clustering - The Data Ensemble
by
john ganales
clustering
representations
dendrogram
proximity
function
0
votes
Q: Which of the following is/are true?
answered
Mar 20
in
Clustering - The Data Ensemble
by
john ganales
multicollinearity
features
clustering
0
votes
Q: Which of the following metrics do we have for finding dissimilarity between two clusters in hierarchical clustering?
answered
Mar 20
in
Clustering - The Data Ensemble
by
john ganales
metrics
hierarchical
clustering
0
votes
Q: In which of the following cases will K-Means clustering fail to give good results?
answered
Mar 20
in
Clustering - The Data Ensemble
by
john ganales
k-means
clustering
0
votes
Q: What is the most appropriate no. of clusters for the data points represented by the following dendrogram?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
clustering
techniques
skill
test
0
votes
Q: In the figure below, if you draw a horizontal line on the y-axis for y=2. What will be the number of clusters formed?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
clustering
techniques
skill
test
0
votes
Q: What could be the possible reason(s) for producing two different dendrograms using an agglomerative clustering algorithm for the same dataset?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
clustering
algorithm
0
votes
Q: How can Clustering (Unsupervised Learning) be used to improve the accuracy of the Linear Regression model (Supervised Learning)?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
clustering
0
votes
Q: After performing K-Means Clustering analysis on a dataset, you observed the following dendrogram. Which of the following conclusion can be drawn from the dendrogram?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
clusters
0
votes
Q: Which of the following algorithm is most sensitive to outliers?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
k-means
clustering
algorithm
0
votes
Q: Which of the following clustering algorithms suffers from the problem of convergence at local optima?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
clustering
algorithms
0
votes
Q: Which of the following can act as possible termination conditions in K-Means?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
k-means
clustering
0
votes
Q: Is it possible that the assignment of observations to clusters does not change between successive iterations in K-Means?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
clustering
0
votes
Q: For two runs of K-Mean clustering, is it expected to get the same clustering results?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
k-mean
clustering
0
votes
Q: What is the minimum no. of variables/ features required to perform clustering?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
clustering
performance
0
votes
Q: Which of the following is the most appropriate strategy for data cleaning before performing clustering analysis, given less than the desirable number of data points? Capping and flouring of variables
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
clustering
tree
0
votes
Q: Can decision trees be used for performing clustering?
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
decision
tree
cluster
0
votes
Q: Sentiment Analysis is an example of:
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
cluster
analysis
0
votes
Q: Movie recommendation systems are an example of:
answered
Mar 19
in
Clustering - The Data Ensemble
by
Robin
cluste
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