QUESTION 1
The minimum eccentricity of all vertices is called
a.
Eccentricity
b.
Radius
c.
Diameter
d.
Peripheral Vertex
0.1 points
QUESTION 2
____________ is a density-based clustering Method.
a.
DBSCAN
b.
OPTICS
c.
DENCLUE
d.
All the above
0.1 points
QUESTION 3
Clustering is an approach that uses which learning technique:
a.
By Observation
b.
By examples
c.
By listening
d.
All of above
0.1 points
QUESTION 4
Less time in training but more time in predicting
a.
Lazy Learning
b.
Eager Learning
c.
a and b
d.
None of the above
0.1 points
QUESTION 5
In holdout method, the given data is randomly partitioned into _____ independent sets.
a.
one
b.
two
c.
many
d.
none of the above
0.1 points
QUESTION 6
_________________ is a two steps process model that describes and distinguishes data classes or concepts.
a.
Data selection
b.
Data Characterization
c.
Data Classification
d.
Data discrimination
0.1 points
QUESTION 7
In ___________ each cluster is represented by one of the objects of the cluster located near the center.
a.
k-medoid
b.
k-means
c.
STIRR
d.
ROCK
0.1 points
QUESTION 8
If an object has deviated significantly from the data set based on certain conditions such as time or location, it is considered which type of outlier?
a.
Contextual Outlier
b.
Global Outlier
c.
Collective Outlier
d.
Not an outlier
0.1 points
QUESTION 9
A ________________ is a tree like diagram that graphically displays hierarchical clustering
a.
dendrogram
b.
decision tree
c.
histogram
d.
None of the above
0.1 points
QUESTION 10
Hierarchical clustering methods
a.
Are always top-down in their approach to forming hierarchies
b.
Are impervious to the choice of split / merge points
c.
Start either with individual objects as clusters or with the entire data set as a single cluster
d.
All of the above
0.1 points
QUESTION 11
Bayesian belief networks (BBN) differ from naïve Bayesian classifiers (BC) in that :
a.
BBNs are always more computationally more efficient than are BCs
b.
BCs assume the values of the attributes in a tuple are conditionally independent, while BBNs do not make that assumption
c.
BCs are always more accurate, even when the data tuples have attribute values that are not necessarily conditionally independent
d.
No significant differences exist
0.1 points
QUESTION 12
____________ is called structural-context similarity.
a.
In-Neighborhood
b.
out-neighborhood
c.
SimRank
d.
Distance
0.1 points
QUESTION 13
ROC stands for
a.
Return Operation Curve
b.
Receiver Operating Curve
c.
Rapid Operating Curve
d.
Receiver Operating Characteristics
0.1 points
QUESTION 14
K-mean is a
a.
Method for creating clusters based on similarities amongst members of a cluster
b.
Method for clustering that requires an initial value, k, that predetermines the number of clusters to create from a given data set
c.
Both a and b
d.
None of the above
0.1 points
QUESTION 15
Which one of the following is the major category of clustering methods for high-dimensional data
a.
Statistical methods
b.
Dimensionality reduction methods
c.
Bagging
d.
Normalization