UMKC DSOM- CHP.11: UNSUPERVISED DATA MINING EXAM QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS VERIFIED LATEST UPDATE

UMKC DSOM- CHP.11: UNSUPERVISED DATA MINING EXAM

QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS

VERIFIED LATEST UPDATE


Name two popular unsupervised data mining techniques: cluster analysis and

association rule analysis.

Multiple select question.



Cluster analysis

Factor analysis

Association rule analysis

Discriminant analysis

Cluster analysis

Association rule analysis

Unsupervised data mining, also referred to as unsupervised learning, requires no

knowledge of the response variable.It is called unsupervised because:(select the

correct response below)

Multiple choice question.



The algorithms allow the computer to identify complex processes and patterns

without any specific guidance from the analyst

, The known values of the response variable are used to build a model in the

training set



These models are used to predict the outcome of an output (response or target)

variable based on several input (predictor) variables



The analyst provides guidance for the computer to identify complex processes

and patterns

The algorithms allow the computer to identify complex processes and patterns without

any specific guidance from the analyst

Hierarchical clustering is a technique that uses an iterative process to group data

into a hierarchy of clusters. What are two common strategies of hierarchical

clustering?

Multiple select question.



Agglomerative clustering

k-means clustering

Divisive clustering

Supervised clustering

Agglomerative clustering

Divisive clustering

In AGNES, each observation in the data initially forms its own cluster. The

algorithm then successively merges these clusters into larger clusters based on