Machine Learning and Artificial Intelligence algorithms using client-side JavaScript, Node.js and MongoDB. Just code kata.
🎼 SoundCloud spam/bot account analysis
In this project I implement some clustering algs and run them against one dataset to compare them. Currently implemented K-Means and used dataset Iris.
College Project to build Human Development Index clustering in Jawa Island by using ST-DBSCAN and K-Means
Ingenieria del conocimiento
A small web-based tool for clustering visualization. Currently only supports the k-means algorithm, but is designed to be modular so that more algorithms can be added. Written using plain JS without frameworks, so not the best example of a well written modern JS application.
K-Means clustering with JavaScript
Implementation of k-means for gps coords
Parallel implementation of K-Means Algorithm, Implemented using NVIDIA CUDA platform,MPI(Message Passing Interface) And OpenMP(Open Multi-Processing) interface.
Example of k-means on a graph.
🪐 K-Means clustering algorithm from scratch
Swarm based clustering and K-Means
Generate the color palette from an image with different methods, using Javascript and react.
This app is designed to forecast the performance of new songs based on the song's similarities in sound to historically popular songs using K-means clustering for "genre" classification and linear regression for performance forecasting.
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