Relativity Analytics WEEK THREE: USE
CLUSTERING (PART ONE) Exam |
Questions with 100% Correct Answers |
Verified | Latest Update 2026/2027
Save
Terms in this set (95)
What is clustering? Creating groups of conceptually similar
documents.
How does clustering work in Documents are placed into clusters
Analytics? based on conceptual similarity.
What is the purpose of the To view the clusters identified by the
Cluster browser? index.
What is the naming algorithm It labels each node in the hierarchy
used in clustering? based on the conceptual content of the
clustered documents.
, When is clustering useful? When working with unfamiliar data sets.
What is the limitation of It doesn't indicate which concepts are of
clustering? particular interest.
What investigative features Sampling, Searching, or Pivot.
can be used to find clusters of
interest?
What is the purpose of the To find documents without enough
UNCLUSTERED group? searchable data.
Can clustering be used on any Yes, it can be used on saved searches,
list of documents? search term results, date ranges, or the
entire workspace.
What is the difference Clustering doesn't require much user
between clustering and input, while categorization does.
categorization?
What determines the positions The Analytics engine.
of documents in the
conceptual index?
What does the Analytics It runs a naming algorithm to label each
engine do once it creates node in the hierarchy.
clusters?
CLUSTERING (PART ONE) Exam |
Questions with 100% Correct Answers |
Verified | Latest Update 2026/2027
Save
Terms in this set (95)
What is clustering? Creating groups of conceptually similar
documents.
How does clustering work in Documents are placed into clusters
Analytics? based on conceptual similarity.
What is the purpose of the To view the clusters identified by the
Cluster browser? index.
What is the naming algorithm It labels each node in the hierarchy
used in clustering? based on the conceptual content of the
clustered documents.
, When is clustering useful? When working with unfamiliar data sets.
What is the limitation of It doesn't indicate which concepts are of
clustering? particular interest.
What investigative features Sampling, Searching, or Pivot.
can be used to find clusters of
interest?
What is the purpose of the To find documents without enough
UNCLUSTERED group? searchable data.
Can clustering be used on any Yes, it can be used on saved searches,
list of documents? search term results, date ranges, or the
entire workspace.
What is the difference Clustering doesn't require much user
between clustering and input, while categorization does.
categorization?
What determines the positions The Analytics engine.
of documents in the
conceptual index?
What does the Analytics It runs a naming algorithm to label each
engine do once it creates node in the hierarchy.
clusters?
