Crime Pattern Detection using K-Means Clustering

1 de Mar de 2011
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
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Crime Pattern Detection using K-Means Clustering

Notas del editor

  1. People may simply want to ‘keep themselves to themselves’ for fear of harassmentGhetto - (a neighborhood populated by minorities)
  2. 3rd point -Some people seek acceptance from a particular group, and therefore act in a deviant manner
  3. The type of crime is robbery and it will be the most important attribute. The rows 1 and 3 show a simple crime pattern where the suspect description matches and victim profile is also similar.
  4. 4.for same word such as blank, unknown, or junk all meant the same for missing age of the person.5. This process involved talking to domain experts such as the crime detectives, the crime data analysts and iteratively running the attribute importancealgorithm to arrive at the set of attributes for the clustering the given crime types. We refer to this as the semi-supervised or expert-based paradigm of problem solving. Based on the nature of crime the different attributes become important such as the age group of victim is important for homicide, for burglary the same may not be as important since the burglar may not care about the age of the owner of the house.