Explain k-means clustering algorithm to group the homicides

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Reference no: EM13313663

In this assignment, analyze crime rates using data mining clustering techniques (K-means) to get an accurate prediction to enable police forces to get a clear picture of criminals and solve crimes.

For part (a): k-means clustering algorithm to group the crime data objects based on the seventh district of Columbia.

First: Manually by hand.

Second: Using Xlminer tools or any other data mining tools and I want the result to be on this map (Dc Districts)

1681_clustering 1.png

 

874_clustering 2.png

2092_clustering 3.png

 

For part (b): I need to do k-means clustering algorithm to group the homicides data objects in the different districts.

First: Manually by hand.

Second: Using Xlminer tools or any other data mining tools and I want the result to be on this map (Dc Districts)

561_clustering 4.png

2037_clustering 5.png

 

 

 

 

Reference no: EM13313663

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