dendogram | Topic | Ecosyste.ms: Repos

Topic: "dendogram"

sgratzl/chartjs-chart-graph

Chart.js Graph-like Charts (tree, force directed)

Language: TypeScript - Size: 16.7 MB - Last synced at: 14 days ago - Pushed at: 2 months ago - Stars: 194 - Forks: 24

sandipanpaul21/Clustering-in-Python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 81 - Forks: 35

kirralabs/text-clustering

learn about indonesian text classification and topics modeling

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 4

vaitybharati/Assignment-07-Clustering-Hierarchical-Airlines-

Assignment-07-Clustering-Hierarchical-Airlines. Perform clustering (hierarchical) for the airlines data to obtain optimum number of clusters. Draw the inferences from the clusters obtained. Data Description: The file EastWestAirlinescontains information on passengers who belong to an airline’s frequent flier program. For each passenger the data include information on their mileage history and on different ways they accrued or spent miles in the last year. The goal is to try to identify clusters of passengers that have similar characteristics for the purpose of targeting different segments for different types of mileage offers.

Language: Jupyter Notebook - Size: 83 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

shanuhalli/Assignment-Clustering

Perform Clustering (Hierarchical, K Means Clustering and DBSCAN) for the airlines and crime data to obtain optimum number of clusters. Draw the inferences from the clusters obtained.

Language: Jupyter Notebook - Size: 5.49 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

aparajitad60/The-Sparks-Foundation---Machine-Learning-Data-Science

This Repo Consists of some of the Tasks for The Sparks Foundation-Machine Learning and Data Science Internship, containing Supervised and Unsupervised Machine Learning Techniques to solve A ML Problem in a Systematic Way.

Language: Jupyter Notebook - Size: 214 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 2

Nicole-lq/ML_proyects

Compilation of various projects based on machine learning algorithms.

Language: Jupyter Notebook - Size: 5.32 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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.

Language: R - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

feromes/Digressao-da-Complexidade-Morfologica

Trabalho Final de Graduação em Arquitetura e Urbanismo Apresentado ao Centro Universitário Belas Artes de São Paulo sobre a complexidade morfológica

Language: JavaScript - Size: 133 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

dhimansaha18/Chracter-Map-Generation-with-NLP

This project is a step towards building an Artificial General Intelligence. The main goal is to discover an individual's biasses getting his/her field of interests from Instagram ad interests.

Language: Python - Size: 971 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

vaitybharati/Hierarchical-Clustering

Hierarchical-Clustering

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

amaurypm/rmsdmat

Superimpose a set of protein structures and report a RSMD matrix, in CSV and Mega-compatible formats.

Language: Julia - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

alvinadar/Hierarchical-Clustering

Agglomerative HC step by step concept

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

DRehan003/Cluster_Analysis_of_Smart_Contract_Risks

I performed cluster analysis on a dataset of smart contracts in Python to identify similar risk profiles.

Language: Python - Size: 1.31 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

fazeelibtesam/Brain_Tumor

Classification of Brain Tumor

Language: Jupyter Notebook - Size: 577 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

OCHOLA-EDDYPHIL/Clustering

This project performs hierarchical clustering on a dataset containing network usage and performance metrics. It includes data preprocessing, encoding, normalization, and visualization of clustering results using dendrograms. The purpose is to analyze and group similar data points, offering insights into patterns and relationships within the dataset

Language: Python - Size: 19.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

BenieAimeeBoni/Projet-OC-n9

Produire une étude de marché avec Python

Language: Jupyter Notebook - Size: 4.6 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

hugohiraoka/Credit_Card_Customer_Segmentation

Classification Model of Potential Credit Card Customers

Language: HTML - Size: 12.7 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

sabitendu/Capstone_Project_On_Netflix_Movies_And_TV-Shows_Clustering

Explore a comprehensive analysis of Netflix's extensive collection of movies and TV shows, clustering them into distinct categories. This GitHub repository contains all the details, code, and insights into how we've organized and grouped the vast content library into meaningful clusters.

Language: Jupyter Notebook - Size: 146 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yujansaya/kaggle_customer_segmentation

Mall Customer Segmentation Data

Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

maryamteimouri/DataAnalysis-and-KnowledgeDiscovery

This project aims to practice the steps of Crisp Data Mining ( CRISP-DM ). The repository includes 3 phases, data understanding, supervised learning, and unsupervised learning.

Language: Jupyter Notebook - Size: 481 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Neemias-tech/R-studies

This is a R repository of studies that I made on some data sets. There are linear models, predicition models (boosting - bagging - RandomFlorest), clustering and dendograms.

Language: HTML - Size: 1.59 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

saikrishnabudi/PCA-Principal-Component-Analysis

Data Science - PCA (Principal Component Analysis)

Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

saikrishnabudi/Clustering

Data Science - Clustering Work

Language: Jupyter Notebook - Size: 4.11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

SINGHxTUSHAR/Assignment-75

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

doguilmak/Clus-Hierarchical-Credit-Card

Hierarchical clustering analysis on Credit Card customers dataset.

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

AjmalSarwary/Preprocessing

Data prepration and preprocessing for predictive modeling with SAS and Python

Language: Jupyter Notebook - Size: 951 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

shreyansh-2003/Clustering-Analysis-KMeans-vs-Agglomerative-Clustering-for-Large-Datasets

This repo explores KMeans and Agglomerative Clustering effectiveness in simplifying large datasets for ML. Goals include dataset download, finding optimal clusters via Elbow and Silhouette methods, comparing clustering techniques, validating optimal clusters, tuning hyperparameters. Detailed explanations and analysis are provided.

Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

shanuhalli/Assignment-PCA

Perform Principal component analysis and perform clustering using first 3 principal component scores both Heirarchial and K Means Clustering and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data.

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0