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☘️ version 2.0 allows users to fetch 5-10 clusters randomly from the Spring Boot backend server. It then feed the clusters to React+D3.js (Data-driven document) in the FE to form up a hierarchical tree

Java 73.37% HTML 0.49% JavaScript 0.35% TypeScript 25.69% CSS 0.10%
full-stack java suny-oswe clustering-algorithm d3 docker java-nio jpa k-means-clustering mysql

csc-365-fullstack-app-ii's Introduction

CSC-365 fullstack app 2.0

Overview

  • This project is the extention of the CSC-365-fullstack-app 1.0.

  • Visit the newest extended version here at CSC-365-fullstack-app 3.0

  • Version 1.0 is a full-stack web application that works like a search engine which will find the similar and relevant businesses (in a json dataset from Yelp) based on user's inputs using Cosine Similarity Metric.

  • This new extended version will, on top of the features in version 1.0, allows users to fetch 5-10 clusters randomly from the Spring Boot server. It then feed the clusters to React+D3.js (Data-driven document) in the FE to form up a hierarchical tree

Project Showcase

My.Movie.-.HD.720p.mov

Technologies:

Backend -- Engine

  • Java Springboot
  • Customized B-Tree
  • Java NIO/IO
  • Clustering using K-Means
  • Customized HashTable
  • Cosine Similarity
  • MySql Database / Docker image

Frontend -- client

  • Vite/React--TypeScript
  • D3.js (Data-driven document)
  • Tailwindcss
  • Material-UI

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