# Talks and presentations

## $K$-means Clustering Algorithm via Vector Quantization

August 25, 2022

Talk, Graduate School of Science-RUPP, Online

The talk is about a mathematical model of data compression known as Vector Quantization and its algorithmic adaptation, the well-known K-means algorithm. The goal of this talk is to show how the mathematical theories of vector quantization model became the fundamental structure of K-means clustering algorithm. The slide can be found here.

## Supervised Machine Learning with Some Green Algorithms

May 15, 2022

Talk, FPB, Online

Forum for Pushing the Boundary (FPB) is a group of Cambodian scholars, creating with a purpose of sharing knowledge around Math, Sciences and general topics to Cambodian students. Here, I share one talk with them about ML. The slide can be found (here).

## A kernel-based Consensual Aggregation for Regression

June 07, 2021

Talk, JDS 2021, Online, France

More information about Journées de Statistique 2021. The talk was about my research topic of a kernel-based aggregation method for regression. The slide can be found here.

## KFC: A Clusterwise Supervised Learning Procedure based on Aggregation of Distances

June 24, 2020

Talk, 4th edition of Digital French-German Summer School with Industry 2020, Online summer school

It was an online summer school. The talk was about the applications of KFC procedure on the domain of energy. More information about the summer school can be found here. The video of the talk can be found here.

## Introduction of Machine Learning and Some Methods of Supervised Classification

April 23, 2019

Presentation, a short course at Institut de Technologie du Cambodge (ITC), Phnom Penh, Cambodia

It was a mission in Cambodia. I gave a short course of introduction to machine learning at Institut de Technologie du Cambodge (ITC).

## Consensual Aggregation of Clusters based on Bregman Divergences to Improve Predictive Models

April 01, 2019

Talk, 8th Meeting of Young Statisticians, Porquerolle, France