Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset.

This repo shows research paper upon which I worked during my summer research intern - 2022.

Implementacija algoritama predstavljenih na predmetu Analiza velikih skupova podataka (AVSP)

TTAK.KO-12.0276 LSH Recursive Hasher

The assignment comprises two main tasks: implementing LSH to identify similar businesses based on user ratings and developing various collaborative filtering recommendation systems to predict user ratings for businesses.

Explored Jaccard distance, Min-Hashing, and LSH for user similarity in a movie rating dataset. Tasks involve dataset preprocessing, exact Jaccard Similarity computation, Min-Hash signatures, and LSH implementation. Results and observations are documented in code, output files, and a report

A Robust Library in C# for Similarity Estimation

Coursera's Natural Language Processing specialization

Homework_4 for Algorithmic Methods for Data Mining (ADM), MSc in Data Science at La Sapienza University of Rome

Projects involving Frequent Itemset Mining and analysis of hierarchical space partitioning techniques

Implementation of algorithms for big data using python, numpy, pandas.

📈|Time Series - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with metrics: L2, Discrete and Continuous Fréchet.

This repo aims to implement an modular engine for Locality-Sensitive Hashing (LSH).

This repository contains simple and funny Data Mining projects in Python.

Finding Similar Items: Textually Similar Documents

MDLE First Assignment - The objective of this project was to implement the A-Priori algorithm to obtain the most frequent itemsets for a list of conditions for a large set of patients, obtaining then associations between conditions by extracting some rules, and also to implement and apply LSH to identify similar news articles from a dataset.

Repository for all assignments of the course COL761: Data Mining (Fall 2020), taught at IIT Delhi

Nilsimsa implementation as a swift package

Applied the LSH algorithm (developed from scratch) for finding similar texts.