CRIME ANALYSIS USING K-MEANS ALGORITHM

Abstract

Data mining is the process of
extracting useful records from the massive
quantity of records and changing it into
comprehensible form for further use. Clustering
is the process of grouping item attributes and
features such that data objects in a one group
are greater similar than data objects in any
other group. But it is a long way now very tough
due to the sharply boom within the massive
volume of information generated by using
number of applications. Fixing those problems
is the difficulty of many modern-day research
works.
Thus, an evaluation on k-mean clustering
algorithms is performed.