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cluster analysis FADS

Authored by Catarina Neves

Mathematics

University

Used 33+ times

cluster analysis FADS
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6 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Cluster analysis can be seen as a data reduction technique.

True

False

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The objective of clustering analysis is to find clusters that are:

Homogeneous within and heterogeneous between

Homogeneous between and heterogeneous within

Big, no matter the number of them

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Hierarchical clustering techniques (e.g. ward's, centroid's, etc) differ in...

the way "distance" between 2 clusters is computed

the criteria to choose the number of clusters to retain

none of the options

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is an advantage of Hierarchical Cluster Analysis?

No reallocation of observations

Greedy algorithm

No need to define number of clusters a priori

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is NOT a characteristic of k-means clustering:

Observations can be reallocated after being assigned to a cluster

The number of clusters needs to be defined a priori

Resistant to outliers

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Hierarchical clustering and K-means can be viewed as complementary techniques:

True

False

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