Created by Sarah Sandison
over 5 years ago
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Clustering:
What is clustering?
Clustering:
What is the least number of variables needed to perform Clustering?
Clustering:
What is the goal of clustering a set of vectors?
Clustering:
Name as many different types of clustering as you can
Clustering:
The most common used measure of similarity is _____ distance or it's square
Clustering:
What is K-Means?
Clustering (K-Means):
K-Means only works for data in what format?
Clustering (K-Means):
What 3 data attributes causes inaccurate results in K-Means?
Clustering (K-Means):
K-means is an iterative algorithm. Which two steps are repeatedly carried out in its inner-loop?
Clustering (K-Means):
K-Means is also known as...
Clustering (K-Means):
What is Within the Sum of Square?
Clustering:
?
Clustering:
?
Association Rules
Association Rules:
Itemset
Association Rules:
Support
Association Rules:
Association Rule
Association Rules:
Confidence
Association Rules:
Lift
Association Rules:
List the different Association Rule algorithms.
Association Rules:
?
Association Rules:
Which measure of association needs to not be too small in order to ensure that the rule has not just occurred by chance?
Association Rules:
The definition of a frequent itemset is...
Association Rules:
What is a sparse matrix?
Association Rules:
Is the support of the rule A → B the same or different as the support of the rule A → B is?
Association Rules:
In general, an association rule A → B tells us that...
Association Rules:
?
Visualisation:
What are the 3 main python libraries for visualisations?
Visualisation:
What Charts can you use for Comparison of Data?
Visualisation:
What Charts can you use to show Composition of Data?
Visualisation:
What Charts can you use to show Distribution of Data?
Visualisation:
What Charts can you use to show Trends within Data?
Visualisation:
What Charts can you use to show the the relationship between value sets?
Regression:
What are the limits for statistically significant correlation?