cissagatto Goto Github PK

bellpartitionsmultilabel

This code generates partitions based on bell numbers for multilabel classification.

best-hybrid-partition

best-partition-kohonen-maf1-clus

This code is part of my doctoral research. The aim choose the best partition generated.

best-partition-kohonen-mif1-clus

This code is part of my doctoral research. The aim choose the best partition generated.

best-partition-maf1-clus

This code is part of my PhD research. This code select the best partition using the CLUS framework. We choose the partition with the best Macro-F1.

best-partition-mif1-clus

This code is part of my Ph.D. research. This code selects the best partition using the CLUS framework. We choose the partition with the best Micro-F1.

best-partition-silhouette

This code is part of my PhD research. This code select the best partition using the silhouete coefficient.

bracis2023

Repository of the paper "Community Detection Methods for Multi-Label Classification" publish in BRACIS 2023

building-a-container-with-apptainer-to-run-r-scripts-on-a-cluster-with-slurm

Building a container with APPTAINER to run R scripts on a cluster with SLURM.

chains-hybrid-partition

This code is part of my doctoral research. The aim is test the best hybrid partitions chosen with silhouette coefficient. But here we using a chain of hybrid partitions to do the test.

cheat-sheet-statistic-r-python

This repository contains the concepts, equations and commands to do statistical analysis with R and Python

cheatsheetpipelinemips32bits

Cheat Sheet Pipeline MIPS 32 Bits

cissagatto

clus

A modified version of Clus System for Hierarchical Multi-Label Classification.

crossvalidationmultilabel

A code to execute and save cross-validation in multilabel classification

ensemble-classifier-chains

This code is part of my Ph.D. research. The R script runs in parallel the ECC made in python.

exhaustive-maf1-clus

This code is part of my doctoral research. The aim is to build, validate and test all possible partitions for multilabel classification using CLUS framework.

exhaustive-mif1-clus

This code is part of my doctoral research. The aim is to build, validate and test all possible partitions for multilabel classification using CLUS framework.

generate-partitions-communities

Generates hybrid partitions using community detection methods.

generate-partitions-jaccard

This code is part of my doctoral research. The aim is to generate partitions from the Jaccard index for multilabel classification.

generate-partitions-kohonen

This code is part of my PhD research. This code generate hybrid partitions using Kohonen to modeling the labels correlations, and HClust to partitioning the label space.

generate-partitions-random1

This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.

generate-partitions-random2

This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.

generate-partitions-random3

This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.

generate-partitions-rogers

This code is part of my doctoral research. The aim is to generate partitions using Rogers-Tanimoto similarity measure.

generate-partitions-similarities

This code is part of my PhD project. The aim is build dendrograms from similarity matrices and chose the best one. Then, the best dendrogram is cutted in all possible levels producing the desired Hybrid Partitions.

generate-random-communities

ggalt

:earth_americas: Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'

github-readme-stats

:zap: Dynamically generated stats for your github readmes

global-partitions

This code is part of my PhD research. The aim is built and validate global partitions for multi-label classification