Meeting 24

Title: K-modes optimization

Date: 28/03/2020

Time: 4 pm     

Location: Zoom Conference Call

Attendees: Sofian Ghazali, Rahul Balamurugan, Zahid Kamil

Absences: None

 

Action Items: Decide on number of clusters

Meeting Agenda:

1. Is the elbow method good enough

2. Are there are any other methods that could help determine the number of clusters

Discussion and Notes:

The meeting was focused on determining if the clustering centroids are enough to represent the data. From the elbow method we noticed that 3 clusters is the optimal number but we know that three clusters would not suffice to represent the whole data. Therefore, we need other options. The silhouette score provides another means of determining the optimal number of clusters by measuring the dissimilarity between the clusters. Therefore, the more dissimilar the clusters the more they represent different aspects of the data. This is exaclty what we were looking for and we decided 14 clusters to be sufficient. Once decided we can now move onto the anomaly detection

Next meeting action items:​

1. Decide if there are any other changes to number of clusters

Meeting Adjournment: 6:00 pm

Meeting Minutes prepared by: Zahid Kamil