#

hierarchical-clustering

Here are 84 public repositories matching this topic...

gtonkinhill / fastbaps

A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data

genetics bayesian hierarchical-clustering

Updated Sep 19, 2022
R

monty-se / PINstimation

A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various …

poisson-distribution hierarchical-clustering maximum-likelihood-estimation market-microstructure expectation-maximisation-algorithm clustering-analysis mixture-distributions information-asymmetry

Updated Oct 22, 2024
R

JustinaZ / pcaReduce

Code to support: "pcaReduce: hierarchical clustering of single cell transcriptional profiles"

gene-expression pca-analysis hierarchical-clustering single-cell-rna-seq k-means-clustering

Updated Feb 24, 2024
R

pneuvial / adjclust

Adjacency-constrained hierarchical clustering of a similarity matrix

gwas linkage-disequilibrium hi-c hierarchical-clustering

Updated Oct 8, 2024
R

Statistical-Learning-based-Portfolio-Optimization

YannickKae / Statistical-Learning-based-Portfolio-Optimization

This R Shiny App utilizes the Hierarchical Equal Risk Contribution (HERC) approach, a modern portfolio optimization method developed by Raffinot (2018).

finance app machine-learning shiny investing portfolio-optimization quantitative-finance asset-allocation hierarchical-clustering

Updated May 14, 2024
R

DiogoFerrari / hdpGLM

Hierarchical Dirichlet Process Generalized Linear Models

npb dirichlet-process-mixtures nonparametric hierarchical-clustering semi-parametric nonparametricbayes

Updated Oct 12, 2023
R

hyunsooseol / snowCluster

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

machine-learning roc decision-tree hierarchical-clustering multidimensional-scaling correspondence-analysis k-means-clustering jamovi multiple-factor-analysis discriminant-analysis multiple-correspondence-analysis classification-analysis pca-analysis-plot univariate-timeseries prophet-analysis clustering-dendrogram

Updated Nov 5, 2024
R

poudeldinesh / Multivariate-Analysis-World-Happiness-Report

Unsupervised Learning

machine-learning r exploratory-data-analysis discriminated-unions unsupervised-learning principal-component-analysis hierarchical-clustering multidimensional-scaling k-means-clustering model-based-clustering canonical-correlation-analysis confirmatory-data-analysis

Updated Feb 18, 2020
R

susanli2016 / Machine-Learning-with-R

R codes for common Machine Learning Algorithms

random-forest svm naive-bayes linear-regression pca logistic-regression decision-trees lda polynomial-regression knn kmeans-clustering apriori-algorithm hierarchical-clustering svr xgboost-algorithm

Updated May 26, 2017
R

byzhang23 / TreeCorTreat

TreeCorTreat

visualization multi-resolution hierarchical-clustering association-analysis single-cell-genomics canonical-correlation-analysis treecortreat-plot

Updated May 3, 2024
R

AbbasPak / Pattern-recognition-by-using-principal-component-analysis-PCA-

Analysing practical examples by using principal component analysis (PCA) and Clustring

pca hierarchical-clustering elbow-method pheatmap

Updated May 14, 2024
R

ShariqAhmed007 / MLmatchmaking

Using Machine Learning to find people with similar personalities & interest for matchmaking

machine-learning r-language unsupervised-learning principal-component-analysis kmeans-clustering hierarchical-clustering agglomerative-clustering

Updated Sep 4, 2020
R

pajaskowiak / clusterConfusion

Clustering validation with ROC Curves

clustering k-means roc-curve clustering-algorithm clustering-evaluation hierarchical-clustering clustering-validation k-means-clustering roc-auc clustering-analysis roc-plot roc-curves roc-analysis auc-score roc-auc-curve roc-auc-score

Updated Jul 5, 2023
R

MNoorFawi / clustering-with-R

Exploring Hierarchical and Kmeans Clustering algorithms in R trying to segment wholesale customers ...

machine-learning clustering business-intelligence hierarchical-clustering kmeans-algorithm

Updated Sep 27, 2018
R

VikramBansall / Cryptocurrency-Portfolio-Optimization

Utilized hierarchical clustering to identify the most similar cryptocurrency clusters and determine which currencies had the most significant impact on each other. Constructed a portfolio based on these findings.

python r crypto patterns unsupervised-learning hierarchical-clustering rprogramming dendogram cyptocurrency

Updated Dec 20, 2023
R

ggeop / Flag-Study

Nations Flags Classification & Clustering project. 🎏

r clustering svm classification cart rpart hierarchical-clustering desiciontree

Updated Sep 15, 2018
R

MengChunYou / hstoptics

spatio-temporal-analysis hierarchical-clustering

Updated Aug 9, 2024
R

blog-neas / DESPOTA

DESPOTA: DEndogram Slicing through a PermutatiOn Test Approach R Package

r-package hierarchical-clustering

Updated Jan 17, 2024
R

ionut-d / TCGA-data-mining-Wnt-CRC

UNSUPERVISED MACHINE LEARNING (CLUSTERING): TCGA data mining for studying the system of interactions between sub-branches of Wnt signalling pathway in colorectal cancer

data-mining tcga hierarchical-clustering unsupervised-machine-learning signalling wnt colorectal-cancer

Updated Mar 4, 2021
R

dshah98 / Machine_Learning_with_R

Full machine learning practical with R.

natural-language-processing linear-regression artificial-neural-networks logistic-regression support-vector-machine polynomial-regression convolutional-neural-network naive-bayes-classification apriori-algorithm hierarchical-clustering knn-classification support-vector-regression decision-tree-regression k-means-clustering kernel-svm random-forest-regression multiple-linear-regression decision-tree-classification random-forest-classification eclat-algorithm

Updated May 23, 2021
R

Improve this page

Add a description, image, and links to the hierarchical-clustering topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the hierarchical-clustering topic, visit your repo's landing page and select "manage topics."