In the k-nearest neighbors method, when the value of k is set to ...

[haleyc112]

In the k-nearest neighbors method, when the value of k is set to 1
 a. the classification or prediction of a new observation is based solely on the single most similar observation from the training set.
  b. the new observation's class is navely assigned to the most common class in the training set.
  c. the new observation's prediction is used to estimate the anticipated error rate on future data over the entire training set.
  d. the classification or prediction of a new observation is subject to the smallest possible classification error.

Question 2

Heirarchial clusting using ____________ results in a sequence of aggregated clusters that minimizes the loss of information between the individual observation level and the cluster level
 a. McQuitty's method
  b. centroid linkage
  c. median linkage
  d. Ward's method

[itsakadoozi]

Answer to Question 1

a
RATIONALE: In the k-nearest neighbors method, when the value of k is set to 1, the classification or prediction of a new observation is based solely on the single most similar observation from the training set.

Answer to Question 2

d
RATIONALE: Ward's minimum variance can be used to measure the distance between clusters in cluster analysis.