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The Similarity Search Tree is an efficient method for indexing high dimensional feature vectors. The main objective of this data structure is to obtain the nearest neighbors given a certain query vector in a reasonable amount of time. In this project, the k-NN algorithm was adapted for supporting image retrieval.

CMake 0.47% C++ 15.27% C 84.25%
centroids hypersphere knn similarity-search

ss-tree's Introduction

Hi 👋, I'm Juan Diego

A passionate seventh-semester Computer Science student from Perú.

byjuandiego

byjuandiego

  • 🔭 I’m currently studying at UTEC

  • 🌱 I’m currently learning Rust

  • 💬 Ask me about PostgreSQL, Python, C++

  • 📫 How to reach me [email protected]

Connect with me:

jdcastropadilla juan.diego.castro.p

Languages and Tools:

aws c cplusplus docker flask git javascript linux mongodb nodejs postgresql postman scikit_learn vuejs

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