A) schema comparisons; DAX functions
B) distribution clustering; connectivity clustering
C) centroid clustering; density clustering
D) k-means clustering; hierarchical clustering
Correct Answer
verified
True/False
Correct Answer
verified
Essay
Correct Answer
Answered by ExamLex AI
View Answer
Multiple Choice
A) is a path with right turns as if one is walking a grid in a city.
B) measures the distance as the true straight line distance between two points.
C) makes calculations based on how dissimilar two observations are from each other.
D) measures the similarity between two observations with values that represent the minimum differences between two points.
Correct Answer
verified
Essay
Correct Answer
Answered by ExamLex AI
View Answer
Multiple Choice
A) RadioShack
B) Best Buy
C) Staples
D) Circuit City
Correct Answer
verified
Multiple Choice
A) Manhattan distance
B) Euclidean distance
C) Matching coefficient
D) Jaccard's coefficient
Correct Answer
verified
True/False
Correct Answer
verified
Multiple Choice
A) outlier values
B) shared traits
C) dissimilar characteristics
D) distance from company headquarters
Correct Answer
verified
Essay
Correct Answer
Answered by ExamLex AI
View Answer
Multiple Choice
A) when a cluster seed is randomly selected and designated as the initial cluster centroid
B) before the algorithm randomly assigns each observation to one of the k clusters
C) when the analyst decides on k initial subgroups to experiment with
D) after the cluster algorithm has assigned each observation to a cluster
Correct Answer
verified
Multiple Choice
A) determining the initial k clusters
B) calculating cluster centroids (means)
C) recalculating and reassigning cluster centroids
D) randomly assigning and designating a cluster seed as the initial cluster centroid
Correct Answer
verified
Multiple Choice
A) average linkage
B) reverse motion linkage
C) single linkage
D) complete linkage
Correct Answer
verified
Multiple Choice
A) The process starts with a single cluster of 100 and ends up with 100 different clusters.
B) All observations are assigned to a cluster that has unique and common characteristics.
C) It is a bottom-up approach in which each observation is initially considered to be a separate cluster.
D) At the end of the process, all observations are included in a single cluster.
Correct Answer
verified
Showing 21 - 34 of 34
Related Exams