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Artificial Intellegence Project: Data grouping with java Create an application visualizing groups creation according to a hierarchical algorithm . Every object is described by two
Artificial Intellegence
Project: Data grouping with java
Create an application visualizing groups creation according to a hierarchical algorithmEvery object is described by two numeric attributesBoth the input objects and output of the algorithm
grouped objects
svvhould be presented graphicallyGrouping should be made according to the shortest distance between two objects Project: Data grouping
Create an application visualizing groups creation according to a hierarchical algorithm
Every object is described by two numeric attributesBoth the input objects and output of the
algorithm
grouped objects
should be presented graphicallyGrouping should be made according to
the shortest distance between two objectsThe distance between objects
and
is calculated
according to the relation:
where:
number of attributes
value of attribute a for objects i and
Data is loaded from files in the RSES format
tab
If there are more than two attributesthe
application should allow the selection of appropriate attributesThe final number of groups should
be given by the user
The program should calculate statistics related to the correctness of created groups
Additional functionality of the application
for each realized
half grade more
:
grouping objects with more than
attributes
ability to perform clustering with weights
see Appendix
text information about steps performed by the algorithm
stepping visualization of joints of different groupsArtificial Intelligence
Laboratory, full
time studiesyear
Project: Data grouping
Create an application visualizing groups creation according to a hierarchical algorithm
Every object is described by two numeric attributesBoth the input objects and output of the
algorithm
grouped objects
should be presented graphicallyGrouping should be made according to
the shortest distance between two objectsThe distance between objects
and
is calculated
according to the relation:
where:
number of attributes
value of attribute a for objects i and
Data is loaded from files in the RSES format
tab
If there are more than two attributesthe
application should allow the selection of appropriate attributesThe final number of groups should
be given by the user
The program should calculate statistics related to the correctness of created groups
Additional functionality of the application
for each realized
half grade more
:
grouping objects with more than
attributes
ability to perform clustering with weights
see Appendix
text information about steps performed by the algorithm
stepping visualization of joints of different groups
Appendix
The distance with weights between objects
and
is calculated according to the relation:
where:
number of attributes
value of attribute a for objects i and
weight for attribute
Weight
is calculated with:
m
a
x
d
o
t
s
where:
attributes set
Distance
is calculated as:
where:
maximum value for the
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