Topic: jaccard-distance Goto Github
Some thing interesting about jaccard-distance
Some thing interesting about jaccard-distance
jaccard-distance,Tweets clustering K-means
User: achyutb6
jaccard-distance,String distances in rust
Organization: ailgroup
jaccard-distance,cluster tweets using the Jaccard Distance metric and the K-means clustering algorithm. This approach groups similar tweets together, which is useful for applications like trend analysis and content organization on Twitter.
User: amirhosseinazami1373
jaccard-distance,Clustering similar tweets using K-means clustering algorithm and Jaccard distance metric
User: anshul1004
jaccard-distance,data and R code to reproduce the analysis and plots presented in the manuscript: "Macrophenological dynamics from citizen science plant occurrence data"
User: aperiodik
jaccard-distance,String Comparision in C#.NET
User: bezzad
Home Page: https://www.nuget.org/packages/StringComparison/
jaccard-distance,Clustering Amazon review data around 6M users using Kmeans and Dbscan algorithm.
User: chang-chia-chi
jaccard-distance,Implemented various spellcheck techniques like cosine similarity, jaccard similarity and levenshtein distance. Open to any further contributions.
User: devxdebanjan
jaccard-distance,HyperLogLog en C++ y OpenMP para cálculo de similitud de genomas mediante índice de Jaccard
User: esalini22
jaccard-distance,A string metric that measures proximity between 2 words. The metric calculation is a formula that utilizes 3 existing String metric algorithms: Jaccard Distance, Edit Distance and Longest Common Substring Distance.
User: hakanozbay
jaccard-distance,Massive Sparse Data Clustering Based on Frequent Items (SIGMOD 2023)
User: huangqiang
jaccard-distance,twitter tweets clustered by common ML algorithms
User: iamklevy
jaccard-distance,This repository contains various assignments that I have done as a part of the Machine Learning course.
User: iamtusharbhatia
jaccard-distance,Link prediction - Who are my friends?
User: kaiyoo
jaccard-distance,A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.
User: lenguyenthedat
jaccard-distance,Set of tasks solved in Big Data Algorithms course
User: lstasiak
jaccard-distance,Big Data Platform Final Project
User: maggie0927
jaccard-distance,A bash script to filter paths based on the similarity of their subdirectory and file name components using Jaccard similarity.
Organization: mako-da
jaccard-distance,Compression algorithm based kernel perceptron using Jaccard's similitary
User: mastanca
jaccard-distance,Fast Jaccard similarity search for abstract sets (documents, products, users, etc.) using MinHashing and Locality Sensitve Hashing
User: micts
jaccard-distance,Document Comparison web application based on Jaccard Similarity Index. The uploaded file is compared to all previously uploaded ones. Built with Java/JSP
User: movietone
jaccard-distance,A graph mining problem where the task was to predict a link between the given nodes. Engineered different features like Jaccard Distance, Cosine-Similarity, Shortest Path, Page Rank, Adar Index, HITS score and Kartz Centrality. Finally built non-linear models to get the final F1 score as 0.92.
User: namratathakur
jaccard-distance,Knowledge extraction through Data Analysis, including Locality Sensitive Hashing (LSH).
User: nepiskopos
jaccard-distance,An algorithm to calculate NFT rarity(how unique it is), based on Jaccard Distance.
Organization: nftgo
jaccard-distance,TreeMinHash: Fast Sketching for Weighted Jaccard Similarity Estimation
User: oertl
jaccard-distance,Locality sensitive hashing based plagiarism checker
User: pyt243
jaccard-distance,This repository contains various classification, clustering and data analysis code.
User: rachnasidana28
jaccard-distance,People do shopping to fulfill their needs. Regardless of the shopping styles, every shopping activity has a specific purpose or mission.
User: rifset
jaccard-distance,By clustering similar tweets together, we can generate a more concise and organized representation of the raw tweets, which will be very useful for many Twitter-based applications (e.g., truth discovery, trend analysis, search ranking, etc.)
User: rishav08
jaccard-distance,Given a directed social graph, have to predict missing links to recommend users.
User: sahildigikar15
jaccard-distance,Created three different spelling recommenders, that each take a list of misspelled words and recommends a correctly spelled word for every word in the list. Each spelling recommender uses different Jaccard distance metrics. For every misspelled word, the recommender find the word in correct spellings that has the shortest distance, and starts with the same letter as the misspelled word, and return that word as a recommendation.
User: shikhar0605
jaccard-distance,In this assignment, you will learn how to cluster tweets by utilizing Jaccard Distance metric and K-means clustering algorithm.
User: shreyanspatell
jaccard-distance,Clustering tweets using k-means algorithm.
User: soumyamukhija
jaccard-distance,Classifying images into discrete categories based on keywords generated from the Google Cloud Vision API
User: xp-song
jaccard-distance,How Far Would You Go for Italian Mozzarella? Exploring the impact of product cost and purchase frequency on distance traveled by Italian consumers
User: yashajoshi
jaccard-distance,Sentence Similarity Approaches
User: ymoslem
jaccard-distance,Asynchronous Distributed Actor-based Approach to Jaccard Similarity for Genome Comparisons
User: youssefelmougy
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