BIOL2022 L21 Cluster analysis

Question 1 of 5

4

Select from the dropdown lists to complete the text.

Options for (dis)similarity:
( Metric, Non-metric, Parametric, Non-parametric ) (continuous) vs. ( Metric, Non-metric, Parametric, Non-Parametric ) (nominal, ordinal).
Bray-Curtis is a popular example of a ( Metric, Non-metric, Parametric, Non-parametric ) dissimilarity measure.
Euclidean distance is an example of a ( Metric, Non-metric, Parametric, Non-parametric ) dissimilarity measure.

Explanation

Question 2 of 5

2

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nMDS = ( non-metric, non-, nominal, non-parametric ) ( -metric, multidimensional, multi-, measurement ) ( -dimensional, decision, dissimilarity ) ( scaling, system, species, similarity ).

Explanation

Question 3 of 5

1

Clustering methods can be:

Select one of the following:

Hierarchical
Non-hierarchical
Either of the above
None of the above

Explanation

Question 4 of 5

1

Clustering methods can be:

Select one of the following:

Agglomerative
Divisive
Either of the above
None of the above

Explanation

Question 5 of 5

2

Module 3, Lecture 3 Outline: • Distance matrices • Transformations and standardisations • Cluster analysis o Types of questions o Carrying it out o Interpreting it

BIOL2022 L21 Cluster analysis

BIOL2022 L21 Cluster analysis

Question 1 of 5

Select from the dropdown lists to complete the text.

Explanation

Question 2 of 5

Select from the dropdown lists to complete the text.

nMDS = ( non-metric, non-, nominal, non-parametric ) ( -metric, multidimensional, multi-, measurement ) ( -dimensional, decision, dissimilarity ) ( scaling, system, species, similarity ).

Explanation

Question 3 of 5

Clustering methods can be:

Select one of the following:

Explanation

Question 4 of 5

Clustering methods can be:

Select one of the following:

Explanation

Question 5 of 5

Select from the dropdown lists to complete the text.

In ecology and systematics, “cluster analysis” usually refers to ( Agglomerative, Divisive ) ( Hierarchical, Non-hierarchical ).

Explanation

	Created by Michael Jardine over 5 years ago

Module 3, Lecture 3 Outline: • Distance matrices • Transformations and standardisations • Cluster analysis o Types of questions o Carrying it out o Interpreting it

BIOL2022 L21 Cluster analysis

BIOL2022 L21 Cluster analysis

Question 1 of 5

Select from the dropdown lists to complete the text.

Explanation

Question 2 of 5

Select from the dropdown lists to complete the text.

Explanation

Question 3 of 5

Clustering methods can be:

Select one of the following:

Explanation

Question 4 of 5

Clustering methods can be:

Select one of the following:

Explanation

Question 5 of 5

Select from the dropdown lists to complete the text.

In ecology and systematics, “cluster analysis” usually refers to Agglomerative Divisive( Agglomerative, Divisive ) Hierarchical Non-hierarchical( Hierarchical, Non-hierarchical ).

Explanation

In ecology and systematics, “cluster analysis” usually refers to ( Agglomerative, Divisive ) ( Hierarchical, Non-hierarchical ).