BIOL2022 L21 Cluster analysis

Descripción

Module 3, Lecture 3 Outline: • Distance matrices • Transformations and standardisations • Cluster analysis o Types of questions o Carrying it out o Interpreting it
Michael Jardine
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Michael Jardine
Creado por Michael Jardine hace casi 6 años
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Resumen del Recurso

Pregunta 1

Pregunta
Options for (dis)similarity: [blank_start]____________[blank_end] (continuous) vs. [blank_start]____________[blank_end] (nominal, ordinal). Bray-Curtis is a popular example of a [blank_start]____________[blank_end] dissimilarity measure. Euclidean distance is an example of a [blank_start]____________[blank_end] dissimilarity measure.
Respuesta
  • Metric
  • Non-metric
  • Parametric
  • Non-parametric
  • Metric
  • Non-metric
  • Parametric
  • Non-Parametric
  • Metric
  • Non-metric
  • Parametric
  • Non-parametric
  • Metric
  • Non-metric
  • Parametric
  • Non-parametric

Pregunta 2

Pregunta
nMDS = [blank_start]____________[blank_end] [blank_start]____________[blank_end] [blank_start]____________[blank_end] [blank_start]____________[blank_end].
Respuesta
  • non-metric
  • non-
  • nominal
  • non-parametric
  • -metric
  • multidimensional
  • multi-
  • measurement
  • -dimensional
  • decision
  • dissimilarity
  • scaling
  • system
  • species
  • similarity

Pregunta 3

Pregunta
Clustering methods can be:
Respuesta
  • Hierarchical
  • Non-hierarchical
  • Either of the above
  • None of the above

Pregunta 4

Pregunta
Clustering methods can be:
Respuesta
  • Agglomerative
  • Divisive
  • Either of the above
  • None of the above

Pregunta 5

Pregunta
In ecology and systematics, “cluster analysis” usually refers to [blank_start]____________[blank_end] [blank_start]____________[blank_end].
Respuesta
  • Agglomerative
  • Divisive
  • Hierarchical
  • Non-hierarchical
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