Meeting 31

Title: K-means

Date: 13/04/2020

Time: 12 pm     

Location: Zoom Conference Call

Attendees: Sofian Ghazali, Rahul Balamurugan, Zahid Kamil

Absences: None

 

Action Items: Optimization of K-means algorithm

Meeting Agenda:

1. Discussing adding class weights to the features, basis for weights

2. Discussing results from previous experimentation on K-means

3. Refine the algorithm for integration into our process flow

Discussion and Notes:

The meeting began with Sofian sharing his screen displaying the centroid densities for various K values from the last time we considered K-means. Each team member contributed ideas towards the useful features for frequency based pattern recognition. Rahul gave the idea of stripping the module to its bare bones, only having it do one function that is to classify message types based on their occurrence frequency. Sofian took it further and discussed the time intervals for making the data in this format for processing and opted to implement it. Rahul took on the role of designing the anomaly detection function for frequency patterns, and Zahid decided to continue working on the GUI.

Next meeting action items:​

1. Test K-means

2. Test full system and GUI

Meeting Adjournment: 2:30 pm

Meeting Minutes prepared by: Rahul Balamurugan