silhouette-method
There are 35 repositories under silhouette-method topic.
erdogant/clusteval
Clusteval provides methods for unsupervised cluster validation
abhinav4201/UnSupervised-ML-Zomato-Restaurant-Clustering-and-Sentiment-Analysis
The Project focuses on Customers and Company, you have to analyze the sentiments of the reviews given by the customer in the data and made some useful conclusion in the form of Visualizations. Also, cluster the zomato restaurants into different segments. The data is visualized as it becomes easy to analyse data at instant.
San13deep/NETFLIX-MOVIES-AND-TV-SHOWS-CLUSTERING
I have clustered similar movies and TV Shows available on Netflix taking into account of attributes like Description, Cast, Director, Genre etc of a particular movie/show.
isaacarroyov/crime_analysis_mx2017
Comparing the Elbow Method and Silhouette Method for choosing the optimal number of clusters in K-Means algorithm
mamomen1996/R_CS_09
Customers RFM Clustering (Market Segmentation based on Behavioral Approach)
AmirMotefaker/Customer-Segmentation-using-R
Customer Segmentation using R
KaranSharma18/Customer-Segmentation-
This Repository uses K-Means Clustering Algorithms , Silhouette Analysis and Elbow method in order 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
LeondraJames/Degrees-That-Pay-You-Back
A cluster analysis leveraging the kmeans algorithm to determine which degrees are likely to yield which levels of income based on historical data.
mamomen1996/Python_CS_04
Customers RFM Clustering (Market Segmentation based on Behavioral Approach)
Philliec459/Geolog-Silhouette-Cluster-Analysis
This repository will be for our Geolog Silhouette Cluster Analysis
renan-abib/Clustering-Breast-Cancer
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).
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.
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
anup-anny/NETFLIX-MOVIES-AND-TV-SHOWS-CLUSTERING
Unsupervised learning project (Clustering)
Gopinathalpha7/E-Commerce_Customer_Segmentation
[ Analyzing the existing customer data and getting valuable insights about the purchase pattern ] | K-Means clustering | silhouette score | minmaxscalar |
Hornerca/Unsupervised-Learning-Clustering
K-means clustering, Evaluation methods of choosing k (Elbow Method, Silhouette analysis)
hrithikwel8/Online__Retail_Customer_Segmentation
Identify major customer segments on a transnational data set that contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.
imane-ayouni/Customer-Segmentation
Clustering algorithms to segment clients of a distribution company
IvanSaravanja2306/Market_Basket_Analysis
Machine Learning for Business - Market Basket Analysis and Clustering
jarred13/The_Beatles_Recommendations
Using Spotify data to create a recommendation system for The Beatles
Mohith-Kota/Clustering-Techniques-on-Synthetic-Real-World-Data
The objective is to implement different clustering methods to synthetic and real-world data and validate using external and internal validation techniques
naman-code/Credit_card_customer_clustring-
Clustering of customer on the basis of their credit card details
omarja12/Insurance_Company_Customers_Clustering
Using several clustering algorithm to segment an insurance company customers
SRIST1608/-NETFLIX-MOVIES-AND-TV-SHOWS-CLUSTERING
I have clustered similar movies and TV Shows available on Netflix taking into account of attributes like Description, Cast, Director, Genre etc of a particular movie/show.
tpurcell0122github/Trade-Ahead
An investment advisory firm needs to segment stock offerings so they may offer their customers understandable investment options.
Yoonyoung-Cho/2019_KCB_Finance_Style_Visualization_Competition
2019.07.08 2등 KCB 금융스타일 시각화 경진대회(KCB/DACON)
zillur-av/k-means-algorithm
This is a Python implementation of k-means algorithm including elbow method and silhouette method for selecting optimal K
DiegoUsaiUK/K_Medoid_Clustering
Segmenting with Mixed Type Data - A Case Study Using K-Medoids on Subscription Data
pablosolanoc/k-MeansClusteringResearch
Implementing K-Means clustering for research about environmental awareness and environmental practices of Ecuadorian households regarding the enviroment
shubhampundhir/Customer-Personality-Analysis
Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments.
venkatesh-eranti/clustering_cricket-data
Analyze the data of batting figures of batsmen in ODI matches by Choosing strike rate and average as the two factors on which clustering the data