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This project is the extention of the CSC-365-fullstack-app 1.0.
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Visit the newest extended version here at CSC-365-fullstack-app 3.0
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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.
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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
My.Movie.-.HD.720p.mov
- Java Springboot
- Customized B-Tree
- Java NIO/IO
- Clustering using K-Means
- Customized HashTable
- Cosine Similarity
- MySql Database / Docker image
- Vite/React--TypeScript
- D3.js (Data-driven document)
- Tailwindcss
- Material-UI