Which of the following is required by K-means clustering?

Hierarchical clustering is slower than non-hierarchical clustering?

A

TRUE

B

FALSE

Which of the following data clustering algorithm uses suffix tree in search engines?

A

Weiner’s algorithm

B

Farach’s algorithm

C

Lempel – Ziv – Welch’s algorithm

D

Suffix Tree Clustering

Which of the following clustering type has characteristic shown in the below figure?

A

Partitional

B

Hierarchical

C

Naive bayes

D

None of the mentioned

Which of the following is finally produced by Hierarchical Clustering?

A

final estimate of cluster centroids

B

tree showing how close things are to each other

C

assignment of each point to clusters

D

all of the mentioned

Which of the following function is used for k-means clustering?

A

k-means

B

k-mean

C

heatmap

D

none of the mentioned

Which of the following clustering requires merging approach?

A

Partitional

B

Hierarchical

C

Naive Bayes

D

None of the mentioned

Which one of the following is NOT a Single System Image Clustering Solution?

A

Open VMS

B

HP-TruCluster

C

OpenSSI

D

NovelNetware

Which of the following is incorrect about Hierarchical Clustering?

A

The tree-branching pattern illustrates a higher degree of relationship between related gene groups

B

It is not similar to the distance phylogenetic tree-building method

C

It produces a treelike structure that represents a hierarchy or relative relatedness of data groups

D

In the tree leaves, similar gene expression profiles are placed more closely together than dissimilar gene expression profiles

Which of the following is incorrect about k-Means Clustering?

A

k-means clustering produces a dendrogram

B

It classifies data through a single step partition

C

It is a divisive approach

D

In this method, data are partitioned into k-clusters, which are prespecified at the outset

Suppose we would like to perform clustering on spatial data such as the geometrical locations of houses. We wish to produce clusters of many different sizes and shapes. Which of the following methods is the most appropriate?

A

decision trees

B

density-based clustering

C

model-based clustering

D

k-means clustering

Which of the following is required by K-means clustering?

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