Juan Diego Castro Padilla's Projects
AVL-tree implementation, supporting insertion, key based search, and remove operations.
Memory-resident B+ tree implementation, supporting insertion, key based search, bound based search and range search operations.
Proyecto para el curso de algoritmos y estructuras de datos
A simulation of animals that fly in flocks and collide with each other. Internally, it uses an implementation of a bucket-PR-quad-tree to manage searches for nearby neighbors.
My personal C++ template for Competitive Programming
A table indexing system
Full-Text Search Engine
Face Recognition
Auto-balanced binary search tree implementation that works with secondary memory to store records. Supports insertion, key-based search, range-based search and remove.
A disk-resident Clustered B+ tree implementation optimized for secondary memory storage for fixed-length records. This solution supports efficient insertion and range search operations, making it well-suited for managing datasets.
Fixed-size hash table implementation for data storage and retrieval. It offers customizability, file-based storage, and error handling for managing large datasets.
Mini file management system for fixed and variable length records
Dynamic hash table implementation that uses chaining method. Supporting insertion, delete and equality search.
Proyecto para el curso de programación III
Image Retrieval System for the courses of Machine Learning and Advanced Data Structures.
Static k-ary tree constructed in disk files. His main operation is the key-based search, but it also supports range search
Linear regression prediction model for the Most Streamed Spotify Songs 2023 dataset
Sorted index file that uses disk files and RAM to manage record insertions and searching
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.
Academic implementation of a tokenizer for a simple stack machine language
A simple dynamic string simulator