Compression algorithm based kernel perceptron using Jaccard's similitary
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Updated
Sep 4, 2017 - C++
Compression algorithm based kernel perceptron using Jaccard's similitary
League of Legends Champion Recommender System
This project aims to reduce string redundancy by utilizing some of the string similarity concepts of NLP .
Jupyter Notebook illustrates and compares different approaches to sentence similarity scoring.
Classifying images into discrete categories based on keywords generated from the Google Cloud Vision API
This project is implemented to check the similarity between sentences and provide a similarity score based on how similar the sentences are compared to each other.
Simple API to recommend songs
Perbandingan metode Cosine Similarity dan Jaccard Similarity pada pencarian hadits bahasa Indonesia menggunakan Laravel 5.7.
Fast Jaccard similarity search for abstract sets (documents, products, users, etc.) using MinHashing and Locality Sensitve Hashing
Regional Wine Prediction using KNN and Similarity Indices
Measures the similarity between documents by calculating Jaccard similarity between documents and provide a similarity score based on how similar the sentences are compared to each other
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
This repository contains various classification, clustering and data analysis code.
This work is for my thesis. This paper is published on I-IKM-2019
Analytical Derivation and Comparison of Alarm Similarity Measures Paper Code (IFAC Symposium, ADCHEM Conference 2021)
Program to Calculate Text Similarity ratio using Tversky Index, Sørensen–Dice coefficient and Jaccard Index. Made with C#. This program was written for the Algorithms and Programming lecture.
A movie recommendation engine built with python and a Qt GUI.
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