Ninja Coding

Here is the video that I created to get better understanding of the underlying processes in the k-means clustering algorithm. This helped me grasp the main concept of the method and commit it to memory. I hope it will also assist you. https://youtube.com/shorts/wpu3eZ3L_84

Currently, I'm working on several image conversion tasks, which I eventually plan to apply to video conversions. Here are some examples where I downscaled images and replaced each pixel with a circle of the same color. This is easily accomplished using Python. What are your thoughts on this?

You can find my explanation of k-means in this video: https://youtu.be/PbaV_zui2y4?si=2bHROmmu4U0Lym3T

I decided to begin with my attempt to deconstruct the well-known clustering approach called K-means. I created a video where I implement the naive K-means from scratch. In my opinion, it's beneficial to try implementing different things on my own. Otherwise, I sometimes get the false feeling that I understand certain things, until I actually try to implement them.

Welcome to this Telegram channel! Here, I'll share my journey as I acquire various programming skills. While my current focus is on Python, I do use other languages as well. My main interest lies in practical applications of programming, particularly in image processing and machine learning. I'll share my insights and experiences as I navigate through these fields. I hope my journey interests not only me but you as well.