elbow-method

There are 0 repository under elbow-method topic.

kneed
arvkevi / kneed
Knee point detection in Python :chart_with_upwards_trend:
systems scientific-computing data-science data-analysis python knee-point elbow-method
Language:Python 745
jtemporal / kmeans_e_cotovelo
kmeans datascience clustering clustering-validation elbow-method elbow-plot
Language:HTML 17
stefmolin / ml-utils
Machine learning utility functions and classes.
roc-curve roc-auc pr-curve precision-recall precision-recall-curve pca scree-plot elbow-method elbow-plot adjusted-r-squared pipeline machine-learning confusion-matrix residuals
Language:Python 12
NLP-PROJECT-BOOK-INSIGHTS-WITH-PLOTLY
kennedyCzar / NLP-PROJECT-BOOK-INSIGHTS-WITH-PLOTLY
Plotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic visual interaction.
latentdirichletallocation kmeans-clustering pca plotly-dash nlp-machine-learning nlp stemming lemmatization corpus-processing french-nlp stopwords-removal unsupervised-machine-learning clustering-algorithm elbow-method silhouette dash plotly plotly-analytics-projects plotly-python callbacks
Language:Python 11
sharmaroshan / Clustering-of-Mall-Customers
Clustering Analysis Performed on the Customers of a Mall based on some common attributes such as salary, buying habits, age and purchasing power etc, using Machine Learning Algorithms.
clustering kmeans-clustering elbow-method dendrograms agglomerative-clustering data-visualization data-analysis eda beginner
Language:Jupyter Notebook 11
AbbasPak / Pattern-recognition-by-using-principal-component-analysis-PCA-
Analysing practical examples by using principal component analysis (PCA) and Clustring
elbow-method hierarchical-clustering pca pheatmap
Language:R 6
kennedyCzar / HIGH-DIMENSIONAL-DATA-CLUSTERING
Implementation of hierarchical clustering on small n-sample dataset with very high dimension. Together with the visualization results implemented in R and python
hierachical clustering high-dimensional-data k-closest silhouette elbow-method
Language:Python 6
sanketmaneDS / Principal_Component_Analysis
This repository contains introductory notebooks for principal component analysis.
elbow-method principal-component-analysis silhouette-score
Language:Jupyter Notebook 6
Elisayiqin / Machine-learning-Sec.3
全球新冠肺炎的数据分析，包括基础知识有：kmeans算法设计，SSE算法设计，分级聚类算法设计，cophenetic distance 算法设计。
cophenetic-distance covid19 elbow-method hierarchical-clustering kmeans-clustering-algorithm sse
Language:Python 4
mdarm / hyperspectral-image-clustering
Project on hyperspectral-image clustering for the Μ402 - Clustering Algorithms course, NKUA, Fall 2022.
adjusted-rand-index calinski-harabaz-score clustering-algorithms elbow-method hierarchical-clustering hyperparameter-optimization hyperspectral-imaging k-means-clustering mutual-information-score principal-component-analysis
Language:MATLAB 4
cedoula / Cryptocurrencies
Use unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.
unsupervised-learning k-means-clustering pca-analysis machine-learning 3d-graphics scatter-plot dendrogram elbow-method
Language:Jupyter Notebook 3
ceenaa / Topic-extraction
Text classification and topic extraction from COVID-19 articles
clustering dbscan elbow-method kmeans lemmatization stemming text-classification topic-extraction
Language:Jupyter Notebook 3
muhammadhamzah8 / Airline-Customer-Value-Analysis-Case-with-Clustering-K-Means
Segment airline customers, analyze the characteristics of different customer categories, compare the value of customers from different customer categories, provide personalized services for categories of customers with different values, and formulate the right marketing strategy.
airline analysis clustering customer data-cleaning elbow-method exploratory-data-analysis feature-engineering feature-selection k-means-clustering pca
Language:Jupyter Notebook 3
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.
clustering data-preprocessing dbscan-clustering dendogram dimensionality-reduction elbow-method exploratory-data-analysis hirarchical-clustering k-means-clustering min-max-scaler silhouette-score standard-scaler assignment-07
Language:Jupyter Notebook 3
shishir349 / Clustering-Analysis-on-Mall-Customers
Problem Statement: This data set is created only for the learning purpose of the customer segmentation concepts , also known as market basket analysis . I will demonstrate this by using unsupervised ML technique (KMeans Clustering Algorithm) in the simplest form.You are owing a supermarket mall and through membership cards , you have some basic data about your customers like Customer ID, age, gender, annual income and spending score. Problem Statement You own the mall and want to understand the customers like who can be easily converge [Target Customers] so that the sense can be given to marketing team and plan the strategy accordingly.
unsupervised-learning unsupervised-machine-learning clustering kmeans-clustering hierarchical-clustering silhouette elbow-method data-analysis python pandas seaborn data-visulation data-science
Language:Jupyter Notebook 3
stelloop / NYC-Taxi-Trip-Duration-Prediction
🗽🚕 Performance of data analysis in taxi trips in NYC and creation of a Random Forest Regressor in order to predict the duration of taxi trips.
clustering data-mining data-visualization elbow-method ml nyc-taxi random-forest
Language:Jupyter Notebook 3
chaitanya-chafale / KMeans-Elbow-Method
This project uses the CGPA.csv file as the dataset (provides CGPA of the students) and uses the K-means algorithm to cluster the points using the elbow point method.
elbow-method kmeans-algorithm kmeans-clustering-algorithm
Language:Jupyter Notebook 2
dc0d32 / Kneedle
Implementation of robust knee/elbow finding algorithm 'Kneedle' in c#
csharp elbow elbow-method knee knee-point
Language:C# 2
DharshanSR / Partitioning-Clustering
This project clusters white wines based on their chemical properties to understand their relationship with quality ratings, using techniques like k-means and PCA.
bss clustering elbow-method factoextra machine-learning pca r tss nb-clust
Language:R 2
g4lius / rfm-customer-profiling
A customer profiling project based on RFM (Recency, Frequency, Monetary) analysis using a dataset from an online retail company in the United Kingdom. The aim is to identify customer habits and create personalized marketing strategies for targeted advertising.
clustering-algorithm dataset elbow-method outlier-detection pandas python scatter-plot scikit-learn silhouette-score
Language:Python 2
isaacarroyov / crime_analysis_mx2017
Comparing the Elbow Method and Silhouette Method for choosing the optimal number of clusters in K-Means algorithm
machine-learning-algorithms unsupervised-machine-learning elbow-method silhouette-method cluster-analysis
Language:Jupyter Notebook 2
kennedyCzar / EIGEN-FREQUENCY-CLUSTERING-USING-KMEANS-DBSCAN-PCA-HDBSCAN
EIGEN FREQUENCY CLUSTERING USING [KMEANS] [KMEANS & PCA ] [DBSCAN] [HDBSCAN]
eigen frequency clustering kmeans dbscan hdbscan elbow elbow-method pca
Language:Python 2
mamomen1996 / R_CS_09
Customers RFM Clustering (Market Segmentation based on Behavioral Approach)
clara clustering data-analysis data-science elbow-method hierarchical-clustering hierarchical-kmeans-clustering kmeans machine-learning market-segmentation ml pam r rfm-analysis silhouette-method unsupervised-learning
Language:HTML 2
manmolecular / http-response-clustering
:chart_with_downwards_trend: Clustering of HTTP responses using k-means++ and the elbow method
jupyter k-means-plus-plus elbow-method elbow-plot data-analysis python3
Language:Jupyter Notebook 2
Preetirai-tech / Online-Retail-Customer-Segmentation-Project
This project aims to analyze a transnational dataset from a UK-based online retail company and identify major customer segments. By categorizing customers into distinct groups based on their characteristics, businesses can gain valuable insights and tailor their strategies to better serve each segment.
agglomerative-clustering clustering dbscan-clustering elbow-method hierarchical-clustering k-means-clustering python silhouette-score unsupervised-machine-learning
Language:Jupyter Notebook 2
raviatkumar / Netflix-Movies-and-TV-Shows-Clustering
Based on a user's preferred movie or TV show, Unsupervised Machine Learning-Netflix Recommender suggests Netflix movies and TV shows. These suggestions are based on a K-Means Clustering model. These algorithms base their recommendations on details about movies and tv shows, such as their genres and description.
elbow-method hirearchical-clustering kmeans-clustering silhouette silhouette-score unsupervised-machine-learning
Language:Jupyter Notebook 2
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.
aglomerative-hierarchical-clustering clustering-algorithm comparitive-study dendogram elbow-method hierarchical-clustering hyperparameter-optimization kmeans-clustering silhouette-score
Language:Jupyter Notebook 2
shreyas-bk / OptimalCluster
OptimalCluster is the Python implementation of various algorithms to find the optimal number of clusters. The algorithms include elbow, elbow-k_factor, silhouette, gap statistics, gap statistics with standard error, and gap statistics without log. Various types of visualizations are also supported.
clustering kmeans unsupervised-learning machine-learning python python3 gap-statistics elbow-method silhouette-score
Language:Python 2
sudheer1098 / cancer-prediction
Apply KNN algorithm to classify whether cancer is present or not. Implemented Pipeline, GridSearchCV, Elbow method to fit the best model.
pipeline gridsearchcv knn-classification elbow-method
Language:Jupyter Notebook 2
abrhame / Telecom-Data-Analysis
This repository contains a comprehensive analysis of telecom user behavior and engagement. It includes: - User Overview Analysis: Identifies top handsets and manufacturers, explores user behavior across various applications, and performs dimensionality reduction for deeper insights. - User Engagement Analysis: Evaluates user engagement
elbow-method k-means k-means-clustering
Language:Jupyter Notebook 1
ccmkaaa / Python-Analysis-Clusterization-and-Classification
Iris dataset
classification clustering dbscan-clustering k-means-clustering python bootstrap cross-validation-score elbow-method iris-dataset jackknife optics-clustering random-forest random-forest-classifier silhouette-score spectral-clustering svm-classifier
Language:Jupyter Notebook 1
GiatrasKon / Clustering-Countries-Socioeconomic-Health-Analysis
Exploration and analysis of socio-economic and health data from 167 countries using MATLAB. Application of clustering algorithms to identify development patterns, visualize disparities, and understand global trends.
calinski-harabasz-index clustering country-data data-analysis data-visualization davies-bouldin-index elbow-method feature-selection health-indicators human-development-index k-means-clustering k-median-clustering k-medoids-clustering machine-learning matlab pca pearson-correlation silhouette-score socio-economic-indicators unsupervised-learning
Language:MATLAB 1
Jean-LucasLS / Data-Science-DNC
Data Science Content from DNC School
data-science data-visualization docker elbow-method excel kmeans kmeans-clustering machine-learning matplotlib-pyplot metabase neural-networks power-query powerbi python seaborn sklearn sql
Language:Jupyter Notebook 1
labrijisaad / Optimal-K-in-K-Means-Clustering
Using the Elbow Method and Silhouette Analysis to find the optimal K in K-Means Clustering.
elbow-method k-means k-means-clustering optimal-k silhouette-analysis
Language:Jupyter Notebook 1
Sherryyy00 / GRIP-TheSparksFoundation
This repository features three data science tasks from GRIP October'23: Linear Regression on student scores, K-Means Clustering on the Iris dataset, and Exploratory Data Analysis on a retail dataset.
data data-analysis data-science elbow-method exploratory-data-analysis k-means-clustering linear-regression machine-learning matplotlib numpy pandas scikit-learn
Language:Jupyter Notebook 1
SINGHxTUSHAR / Economic_DER_Integration
Economic_DER_Integration is a Economical demand-side management with distributed energy resources project which Demand-side management (DSM) and distributed energy resources (DER) are both strategies that can help reduce energy costs and improve the efficiency of energy.
clustering dbscan-clustering der dsm elbow-method electrical-engineering energy-consumption kmeans-clustering optimazation
Language:Jupyter Notebook 1

elbow-method

arvkevi / kneed

jtemporal / kmeans_e_cotovelo

stefmolin / ml-utils

kennedyCzar / NLP-PROJECT-BOOK-INSIGHTS-WITH-PLOTLY

sharmaroshan / Clustering-of-Mall-Customers

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

kennedyCzar / HIGH-DIMENSIONAL-DATA-CLUSTERING

sanketmaneDS / Principal_Component_Analysis

Elisayiqin / Machine-learning-Sec.3

mdarm / hyperspectral-image-clustering

cedoula / Cryptocurrencies

ceenaa / Topic-extraction

muhammadhamzah8 / Airline-Customer-Value-Analysis-Case-with-Clustering-K-Means

shanuhalli / Assignment-Clustering

shishir349 / Clustering-Analysis-on-Mall-Customers

stelloop / NYC-Taxi-Trip-Duration-Prediction

chaitanya-chafale / KMeans-Elbow-Method

dc0d32 / Kneedle

DharshanSR / Partitioning-Clustering

g4lius / rfm-customer-profiling

isaacarroyov / crime_analysis_mx2017

kennedyCzar / EIGEN-FREQUENCY-CLUSTERING-USING-KMEANS-DBSCAN-PCA-HDBSCAN

mamomen1996 / R_CS_09

manmolecular / http-response-clustering

Preetirai-tech / Online-Retail-Customer-Segmentation-Project

raviatkumar / Netflix-Movies-and-TV-Shows-Clustering

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

shreyas-bk / OptimalCluster

sudheer1098 / cancer-prediction

abrhame / Telecom-Data-Analysis

ccmkaaa / Python-Analysis-Clusterization-and-Classification

GiatrasKon / Clustering-Countries-Socioeconomic-Health-Analysis

Jean-LucasLS / Data-Science-DNC

labrijisaad / Optimal-K-in-K-Means-Clustering

Sherryyy00 / GRIP-TheSparksFoundation

SINGHxTUSHAR / Economic_DER_Integration