Correlations

We First applied K-means Algorithm to make clusters of data w.r.t to 6 features such as speed value, event-time, vehicle type, violations, day(Mon, Tue..), Gate id(Camera number)

We first encoded the data we have so that they can be used for unsupervised algorithm properly; For example Speed value to speed value/100 ; event-time to sin(time) etc…

We then Tried to find Correlation coefficient between features to find some correlation between them.[Plotted correlation matrix];

We tried to find the efficient value of K in K-means by plotting elbow graph which shows k value should be between 2-5, so we plotted kor K=3 and K=4;

CORRELATIONS

We First applied K-means Algorithm to make clusters of data w.r.t to 6 features such as speed value, event-time, vehicle type, violations, day(Mon, Tue..), Gate id(Camera number)

Data Analytics in Campus Traffic Monitoring