dendrogram | Topic | Ecosyste.ms: Repos

Topic: "dendrogram"

talgalili/heatmaply

Interactive Heat Maps for R Using plotly

Language: R - Size: 6.41 MB - Last synced at: 15 days ago - Pushed at: 9 months ago - Stars: 387 - Forks: 73

Yunuuuu/ggalign

A 'ggplot2' Extension for Consistent Axis Alignment

Language: R - Size: 99.3 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 282 - Forks: 11

shubhamjha97/hierarchical-clustering

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

Language: Python - Size: 2.28 MB - Last synced at: 27 days ago - Pushed at: over 4 years ago - Stars: 83 - Forks: 31

tbonald/paris

Hierarchical graph clustering

Language: Jupyter Notebook - Size: 8.61 MB - Last synced at: 11 months ago - Pushed at: almost 7 years ago - Stars: 37 - Forks: 7

SSQ/Coursera-UW-Machine-Learning-Clustering-Retrieval

Language: Python - Size: 81.9 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 28 - Forks: 28

mphasize/noder

Tiny tool to transform Freemind mindmap files into Dendrograms and from there to SVG

Language: JavaScript - Size: 293 KB - Last synced at: about 2 years ago - Pushed at: about 11 years ago - Stars: 24 - Forks: 4

schlegelp/tanglegram

Plot tanglegrams from two dendrograms

Language: Python - Size: 95.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 20 - Forks: 5

koonimaru/radialtree

A python module to draw a circular dendrogram

Language: Python - Size: 1.35 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 19 - Forks: 9

YuLab-SMU/ggtreeDendro

Drawing 'dendrogram' using 'ggtree'

Language: R - Size: 63.5 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 13 - Forks: 3

HHansi/Embed2Detect

Python implementation of Embed2Detect for event detection in social media

Language: Jupyter Notebook - Size: 4.84 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 12 - Forks: 2

pedrodbs/DendrogramViewer

A dendrogram viewer web-application

Language: JavaScript - Size: 941 KB - Last synced at: 11 months ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 8

NicolasH2/ggdendroplot

dendrograms in ggplot2.

Language: R - Size: 626 KB - Last synced at: 22 days ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 0

sysbiolab/TreeAndLeaf

An R package for displaying binary trees, aiming to represent multiple layers of information on dendrogram leaves.

Language: R - Size: 7.85 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 3

samarjit98/Cat-Breeds

Cat breed classification using RowCNN and deriving inter-breed relationships

Language: Python - Size: 3.49 MB - Last synced at: 23 days ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 3

miralemd/mekaarogram

Display a hierarchy in the most amazing way ever!

Language: JavaScript - Size: 1.39 MB - Last synced at: 8 days ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 3

ds-modules/CUNEIF-102A

Module for Niek Veldhius, Sumerian Text Analysis.

Language: Jupyter Notebook - Size: 40.8 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 0

FatemehGholamzadeh/Data-Mining-Course-Assignments

Data Mining Course Assignments - Fall 2019

Language: Jupyter Notebook - Size: 21.1 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

A visualization support tool for advanced hierarchical clustering analysis. MLCut allows cutting dendrograms at multiple heights/levels. In other words, it allows to set multiple local similarity thresholds in potentially large dendrograms. It uses two coordinated views, one for the dentrogram (radial layout), and another for the original multidimensional data (parallel coordinates). The purpose is to add flexibility and enforce transparency in the process of selecting branches that correspond to the different clusters, while enabling the discovery of visual patterns in the original data.

Language: JavaScript - Size: 10.6 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

asmagen/hierarchicalSingleCell

An R package to robustly identify subpopulations in single-cell RNASeq data.

Language: Jupyter Notebook - Size: 107 MB - Last synced at: 19 days ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 1

rochitasundar/Stock-clustering-using-ML

The project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and face lower risk by tempering potential losses when the market is down.

Language: Jupyter Notebook - Size: 9.16 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 3

songxc9527/graphics-dendrogram

use java graphics to make graphics-dendrogram

Language: Java - Size: 289 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 2

Biolab-PoliTO/CIMAP

Python algorithm to assess muscle activation patterns during cyclical movements

Language: Python - Size: 7.15 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

sanketmaneDS/Clustering

This repository contains introductory notebook for clustering techniques like k-means, hierarchical and DB SCAN

Language: Jupyter Notebook - Size: 999 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

vaitybharati/Assignment-08-PCA-Data-Mining-Wine-

Assignment-08-PCA-Data-Mining-Wine data. Perform Principal component analysis and perform clustering using first 3 principal component scores (both heirarchial and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data (class column we have ignored at the begining who shows it has 3 clusters)

Language: Jupyter Notebook - Size: 94.7 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 3

Niloth-p/Phylogenetic-Tree-construction-using-Agglomerative-and-Divisive-Hierarchical-clustering

The prog is written to construct the phylogenetic tree (dendrogram) based on DNA/Protein sequences of species given in a dataset using Agglomerative and Divisive Hierarchical Clustering and to compare Agglomerative and Divisive methods

Language: Python - Size: 124 KB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

tos-kamiya/dendro_text

Draw dendrogram of similarity between text files.

Language: Python - Size: 214 KB - Last synced at: 10 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

riddhigupta1110/DataWarehousingAndMining-V-MU-CSE

Codes for Practical experiments of Data Warehousing and Mining (Semester V - Computer Engineering - Mumbai University)

Language: Python - Size: 24.4 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

SaniyaAbushakimova/Brewing-Insights-with-Unsupervised-Learning

Conducted a comprehensive clustering analysis to categorize beers based on features such as Astringency, Alcohol content, Bitterness, Sourness, and more. Utilized k-medoids and hierarchical agglomerative clustering algorithms to achieve this classification. Tech: Python (numpy, pandas, seaborn, matplotlib, sklearn, scipy)

Language: Jupyter Notebook - Size: 50 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

pharo-ai/hierarchical-clustering

Hierarchical Clustering algorithms for Pharo

Language: Smalltalk - Size: 63.5 KB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

marcoghislieri/CIMAP

Python algorithm to assess muscle activation patterns during cyclical movements

Language: Python - Size: 7.3 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

cedoula/Cryptocurrencies

Use unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.

Language: Jupyter Notebook - Size: 4.35 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 8

amichaelsen/cooking-cuisine-analysis

Erdos Institute Bootcamp project analyzing cuisines by recipe ingredient lists.

Language: Jupyter Notebook - Size: 5.35 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

NatenaelTBekele/Product_Segmentation

To perform an exploratory data analysis and cluster the products based on various factors

Language: Jupyter Notebook - Size: 540 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

y656/Weather-data-clustering

This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset

Language: Jupyter Notebook - Size: 241 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

xhan97/hunger

A python library for evaluating Hierarchical Clustering

Language: Python - Size: 13.7 KB - Last synced at: 9 days ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

CDCgov/LpSubP 📦

LpSubP is a rapid subtyping tool for Legionella pneumophila with core gene set

Language: Python - Size: 49.1 MB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 7

tezzytezzy/caravan-insurance-policy

Random Forest Classification

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

vaitybharati/P29.-Unsupervised-ML---Hierarchical-Clustering-Univ.-

Unsupervised-ML---Hierarchical-Clustering-University Data. Import libraries, Import dataset, Create Normalized data frame (considering only the numerical part of data), Create dendrograms, Create Clusters, Plot Clusters.

Language: Jupyter Notebook - Size: 45.9 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

SJaffa/Jplots

Astrophysical data analysis tool: quantifying the shape of pixelated structures using moments

Language: Python - Size: 32.9 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

ligerfotis/CSE6363_Machine_Learning

Machine Learning algorithms from-scratch implementation. It covers most Supervised and Unsupervised algorithms. Homework assignments and Projects for graduate level Machine Learning Course taught by Dr Manfred Huber at UTA during Spring 21

Language: Python - Size: 151 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 3

venkatesh-eranti/Clustering_Project_online-retail_case-study

For an UK based non-store online retail for which we need to cluster it's customers in to different groups so that we can run targeted campaign for each group

Language: Jupyter Notebook - Size: 475 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

rajtulluri/Taxi-rank-Geoclustering

Geo clustering of Taxi rank locations to find optimal locations for service centers to be setup

Language: Jupyter Notebook - Size: 3.36 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

fsmosca/Similarity-Dendrogram

Plot dendrogram on chess engines similarity

Language: Python - Size: 801 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

rcv911/dendrogram

How to draw Dendrogram in clustering analysis

Language: Python - Size: 151 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

joshuaclayton/similar-names

Language: Haskell - Size: 6.84 KB - Last synced at: 2 months ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0

havva-nur-ezginci/ML-Applications

💡This project involves the implementation of machine learning (ML) algorithms 💻🔍on various datasets.

Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

HPI-Information-Systems/DendroTime

Progressive HAC system for variable-length time series

Language: TypeScript - Size: 40.7 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

Relostar-Devil/Machine-Learning-Algorithms

Supervised and Unsupervised Machine Learning Algorithms.

Language: Jupyter Notebook - Size: 116 KB - Last synced at: 17 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

bjam24/bank_customer_segmentation_methods

The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 30 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Wafama/Missing_Values

Missing Values

Language: Jupyter Notebook - Size: 467 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ConradKleykamp/Wine-Analysis-Clustering

Employing unsupervised learning techniques to cluster Italian wines grown by three different cultivars

Language: Jupyter Notebook - Size: 728 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Oksvabram/Cognitive-Computing-final-project

Exploration of various ML models and techniques for cognitive computing tasks. The primary focus is analysing hidden representations and the effectiveness in classifying data

Language: Jupyter Notebook - Size: 2.23 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

afairless/binary_classification_shap

Run histogram-based gradient boosted trees binary classifier on generated data and interpret results with standard metrics, SHAP, and supervised clustering

Language: Python - Size: 22.5 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Geo-y20/Mall-Shoppers-Customer-Segmentation-Analysis

analyze the shopping behaviors and demographic profiles of customers visiting a mall using various clustering techniques.

Language: Jupyter Notebook - Size: 975 KB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Netcodez/Book-Recommendation-System

Book Recommendation System - NLP

Language: Jupyter Notebook - Size: 464 KB - Last synced at: 26 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Ninad077/Machine_Learning-Hierarchical_Clustering

Content: Unsupervised ML, Agglomerative & Divisive Hierarchical clustering, EDA using Dendrogram, Customer clustering

Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

manjugovindarajan/Trade-Ahead-StockClustering-using-ML

Project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and faces lower risk by tempering potential losses when the market is down.

Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

HealthyData-Hub/The-Impact-of-Covid-19-on-Mental-Health

Research if there’s a demand in mental health cases and/ or, if the general healthcare system was coping during the Covid 19 crisis. The outcome would enable us to make high level decisions on Digital Healthcare

Language: Jupyter Notebook - Size: 3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

lkfink/Dundun2_labels

Code to accompany paper: "Features underlying speech versus music as categories of auditory experience"

Language: MATLAB - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

YugalPatil97/Cluster_Analysis

Creating clusters for gobal development measurements

Language: Jupyter Notebook - Size: 846 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

S-CHAN11/Bank-Customer-Segmentation

The objective of this project is to analyze the customers of a bank, categorize them with K-Means and Hierarchical Clustering and evaluate their distinct characteristics

Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

temmyfioye/ClusteringWineDataSet

Applying K-Means and Agglomerative hierarchical clustering to dataset

Language: Jupyter Notebook - Size: 503 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

muscak/Cluster-Analysis

Language: Jupyter Notebook - Size: 29.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

fennywijaya/Model-Fitness-Segmentation

Create customer segmentation from a fitness franchise customer data using machine learning algorithms, submitted as project during course in Practicum Indonesia.

Language: Jupyter Notebook - Size: 436 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

shu-nya/Netflix-movies-and-TV-shows-Clustering

Unsupervised Learning model to cluster movies and TV shows on Netflix.

Size: 5.24 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

prabhuti-b/Customer-Analysis-with-Hierarchical-Clustering---Python

Customer Analysis with Hierarchical Clustering - Python

Language: Jupyter Notebook - Size: 56.6 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Navneet2409/netflix-movies-and-tv-shows-clustering

The goal of this project is to use Netflix data (7787,12) to classify and group movies and shows into specific clusters. We will utilize techniques such as K-means clustering, Agglomerative clustering and content-based recommendation systems to analyze the data and provide personalized suggestions to consumers based on their preferences.

Language: Jupyter Notebook - Size: 30.4 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

HHansi/WhatsUp

Python implementation of WhatsUp for co-occurring event resolution in social media data

Language: Python - Size: 49.8 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

hanzhangyu/highcharts-tree

Tree chart for Highcharts.

Language: TypeScript - Size: 1.91 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

AWrzos/Study_Cluster_Analysis

Clustering projects from courses

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Fatma-Eltelwany/NLP-Finding-Similarity-between-movies

Language: Jupyter Notebook - Size: 223 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mitraarka27/StatisticalLearningClass

Code I wrote for my Statistical (Machine) Learning Class at UIUC Department of Statistics

Size: 3.36 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

NatenaelTBekele/AllLife-Bank-Customer-Segmentation

To identify different segments in the existing customer, based on their spending patterns as well as past interaction with the bank, using clustering algorithms, and provide recommendations to the bank on how to better market to and service these customers.

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

nikita-bachhas/A-Technical-Review-of-Clustering

This project analyses different clustering methods over three different datasets

Language: Jupyter Notebook - Size: 11 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

omarja12/Insurance_Company_Customers_Clustering

Using several clustering algorithm to segment an insurance company customers

Language: Jupyter Notebook - Size: 4.25 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

dosbolacademic/Clustering-Project

I used Agglomerative Hierarchical Clustering and K-Means Clustering. The goal of this project is to find the best way to characterize the variety of consumers that a wholesale distributor deals with

Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ZeroDarkHardy/Cryptocurrencies

Using unsupervised machine learning algorithms to classify entries in a database of cryptocurrencies.

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

imane-ayouni/Chicago-Public-School-Students-Clustering

Unsupervised learning algorithms to cluster students of a public school

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

Tobi1018/Cryptocurrencies

Cryptocurrencies Analysis using Unsupervised Machine Learning.

Language: Jupyter Notebook - Size: 3.85 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Shyam-Makwana/Content-Based-Book-Recommendation-System

Book Recommendation System to find which books are similar to others based on the content

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

shwetamustare/Hierarchical-Clustering

Clustering data items with Agglomerate Hierarchical Clustering. Utilising Dendrograms.

Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

nammnjoshii/Clustering_and_Factor_Analysis-Gross-Pointe-Associates-And-The-Microvan-

Recommendations on which characteristics are most important for determining whether a customer has a favourable perception of the microvan concept, to segment the market, and to determine which segment(s) would be good to target based on the analysis of data.

Size: 10.4 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1