Golang metrics for calculating string similarity and other string utility functions
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Updated
Jun 5, 2024 - Go
Golang metrics for calculating string similarity and other string utility functions
This code generate partitions for a multilabel dataset using the Jaccard Index similarity measure. We use HCLUST with 6 linkage metrics to generate several partitions. You may build the partition with the highest coefficient. This code also provide an analysis about the partitioning.
Asynchronous Distributed Actor-based Approach to Jaccard Similarity for Genome Comparisons
Document Comparison web application based on Jaccard Similarity Index. The uploaded file is compared to all previously uploaded ones. Built with Java/JSP
This code is part of my doctoral research. The aim is to generate partitions from the Jaccard index for multilabel classification.
Kotlin multiplatform library offering various algorithms to measure string similarity and distance
The objective is to implement different clustering methods to synthetic and real-world data and validate using external and internal validation techniques
TreeMinHash: Fast Sketching for Weighted Jaccard Similarity Estimation
HyperLogLog en C++ y OpenMP para cálculo de similitud de genomas mediante índice de Jaccard
A platform for both students and instructors to browse courses in the MOOC world easily. The platform features a recommender system that predicts courses of users preference from past courses, a Student-Instructor Course enrollment and Real-Time Discussion Forum Systems.
build a classifier to predict whether a loan case will be paid off or not. in loan applications, clean the data, and apply different classification algorithm on the data. use the following algorithms to build your models: k-Nearest Neighbour Decision Tree Support Vector Machine Logistic Regression The results is reported as the accuracy of each …
This project aims to predict liver disease in Indian patients
The Dice Coefficient Is Scale Sensitive, Mathematical Proof.
Breast ultrasound (BUS) image segmentation using region-growing algorithm
An R script that uses MACCS166 chemical fingerprint and calculates Jaccard Index/Tanimoto Coefficient for a list of Aspartate Racemase Ligands
load a dataset using Pandas and apply the following classification methods (KNN, Decision Tree, SVM, and Logistic Regression) to find the best one by accuracy evaluation methods (Jaccard, F1-score, LogLoss) for this specific dataset.
Different clustering and clustering metrics are implemented in this repository
Implementation of various machine learning techniques to detect credit card frauds based on a given dataset. This repo will guide you through the data analysis, viz and building predictive models
Machine Learning with Python
This project contains the KNN, SVM, Logistic Regression and Decision Tree algorithms applied to a loan data set. Model Evaluation is also presented at the end of this model.
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