kmeans-

AM L and web application for classifying industrial chemical production batches into operational performance clusters using K-Means clustering. Flask REST API backend and React + Vite frontend with real-time batch classification.

Unsupervised clustering and PCA analysis of African-origin compounds using KMeans (k=4). The project identifies molecular feature patterns, visualizes clusters in reduced PCA space, and extracts representative compounds for each group.

I have applied KMeans, Hierarichal, DBSCAN Clustering on the dataset and shown which Cluster is highly bounded

This C++ from-scratch project implements a machine learning system to classify images of washers and coins using the K-nearest neighbors (Knn) classifier and K-means clustering for segmentation. The system incorporates Sobel edge detection and Hu moments for shape analysis, allowing it to accurately distinguish between similar circular objects.