Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset.
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Updated
Mar 5, 2021 - C++
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)
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
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.
Trabalho Prático da UC de Métodos Probabilísticos para Engenharia Informática, UA 2019/2020
SpellChecker: an application to check for spell errors.
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
📈|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 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.
Applied the LSH algorithm (developed from scratch) for finding similar texts.
LSH algorithm made with C++
Homeworks for Advanced Data Mining and Language Technology (DMT) at La Sapienza University of Rome
Simple Projects in Data Mining
Assignment-2 for CS F469 Information Retrieval Course
Add a description, image, and links to the lsh-algorithm topic page so that developers can more easily learn about it.
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