Analysing practical examples by using principal component analysis (PCA) and Clustring
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May 14, 2024 - R
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elbow-method
Here are 17 public repositories matching this topic...
This project clusters white wines based on their chemical properties to understand their relationship with quality ratings, using techniques like k-means and PCA.
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Jun 27, 2024 - R
Function to find the optimal number of clusters for k-means analysis using the Elbow Method
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Dec 8, 2024 - R
Clusterização dos dados presentes no dataset de câncer de mama, implementando os algoritmos K-means, algoritmo do cotovelo (elbow method) e da silhueta média (Silhouette).
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Feb 13, 2023 - R
K-means as an unsupervised machine learning technique. Customer Segmentation Case.
segmentation kmeans silhouette k-means rfm elbow-method customer-segmentation rfm-analysis gap-statistic
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Jan 6, 2020 - R
Avaliação do estado de aplicativos Android entre os anos de 2010 e 2018 presentes na Google Play Store por técnicas de visualização de dados. Identificação de parâmetros potencialmente importantes para o número de instalações de um aplicativo e seu envolvimento com a precificação (gratuito ou pago), através do uso de técnicas de machine learning.
machine-learning r clustering regression silhouette decision-tree kmeans-clustering elbow-method googleplaystore
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Feb 13, 2023 - R
Customer Segmentation using R
r clustering eda k-means data-exploration clustering-algorithm k-means-clustering elbow-method customer-segmentation silhouette-method factoextra k-means-algorithm optimal-clusters optimal-number-of-clusters spending-score annual-income age-distribution customer-gender-visualization customer-gender
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Jul 21, 2024 - R
This is my first attempt at a KNN model, where I attempt to classify the purchase of caravan insurance in the Caravan data set (ISLR package).
data-science machine-learning r insurance classification financial-data knn normalization elbow-method
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Jan 15, 2019 - R
This project uses K-Means clustering to segment wholesale customers based on their spending habits. The data is preprocessed, scaled, and clustered into four groups. The Elbow and Silhouette methods determine the optimal number of clusters, and results are visualized using boxplots and scatter plots to uncover spending patterns.
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Nov 24, 2024 - R
Grouping pupils according to the performance at two intermediate examinations
ggplot2 tidyverse knitr hierarchical-clustering tibble tidyr purrr elbow-method dendrogram kmeans-clustering-algorithm silhouette-score singlelink tribble
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Apr 26, 2021 - R
Repositorio creado para almacenar archivos, script y el informe final del curso de modelamiento estadístico del Diplomado en Big Data de la Pontificia Universidad Católica de Chile.
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May 16, 2024 - R
Customer Segmentation and Product Recommendation for ACME Innovations - School Project
data-mining r machine-learning-algorithms clustering-algorithm apriori-algorithm knn-classification ggplot elbow-method customer-segmentation product-recommendation knn-clustering
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Oct 24, 2024 - R
Clustering wedding guests.
data-science machine-learning r unsupervised-learning cluster-analysis kmeans-clustering dendogram elbow-method
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Nov 17, 2019 - R
Supervised and unsupervised analysis
tree ggplot2 r random-forest clustering naive-bayes supervised-learning logistic-regression kmeans unsupervised-learning knn kmeans-clustering elbow-method gap-statistic gini-index
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Dec 20, 2022 - R
Classify the subsidy eligible users based on their electricity usage patterns
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Jun 20, 2017 - R
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Mar 20, 2020 - R
Clustering personalities and labelling based on sampled survey responses (Hierarchical and K-Means).
linear-regression sampling bayes-classifier kmeans-clustering quadratic-discriminant-analysis hierarchical-clustering elbow-method collinearity
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Jun 22, 2021 - R
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