1) K-means implementation from scratch in python (Inspired from code and coffee session )
2) Implementation of visualisation code
3) Demonstration of visualisation with different dataset e.g. single widespread cluster and 2/cluster centres, two neatly separated clusters and various no. of clusters etc.
Proposed duration: 45 minutes
Talk scheduling: Will need to work on it for 1 or 2 weekends. So will be ready by 21st March.
This talk will cover the following things
1) K-means implementation from scratch in python (Inspired from code and coffee session ) 2) Implementation of visualisation code 3) Demonstration of visualisation with different dataset e.g. single widespread cluster and 2/cluster centres, two neatly separated clusters and various no. of clusters etc.
Proposed duration: 45 minutes
Talk scheduling: Will need to work on it for 1 or 2 weekends. So will be ready by 21st March.