GitHub topics: silhouette-method

Repositories

erdogant/clusteval

Clusteval provides methods for unsupervised cluster validation

Language: Jupyter Notebook - Size: 27.5 MB - Last synced at: 5 days ago - Pushed at: 29 days ago - Stars: 59 - Forks: 8

zaw-may/Customer-Behavior-Analysis

Customer Behavior Analysis

Language: Jupyter Notebook - Size: 111 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Yoonyoung-Cho/2019_KCB_Finance_Style_Visualization_Competition

2019.07.08 2등 KCB 금융스타일 시각화 경진대회(KCB/DACON)

Size: 34.4 MB - Last synced at: 9 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

AmirMotefaker/Customer-Segmentation-using-R

Customer Segmentation using R

Language: R - Size: 29.2 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 214 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

pablosolanoc/k-MeansClusteringResearch

Implementing K-Means clustering for research about environmental awareness and environmental practices of Ecuadorian households regarding the enviroment

Language: Python - Size: 13.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

Richard-Vuong/Movie-Recommender-Engine

This is a movie recommender engine I created for my capstone project, that utilises text vectorization, and K-means clustering with the elbow and silhouette method to evaluate the optimal K value.

Language: Jupyter Notebook - Size: 7.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

DiegoUsaiUK/K_Medoid_Clustering

Segmenting with Mixed Type Data - A Case Study Using K-Medoids on Subscription Data

Size: 757 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

domingosdeeulariadumba/superstore-sales_clustering

Superstore clustering for furniture products.

Language: Python - Size: 1.31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 84 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 27.9 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

jarred13/The_Beatles_Recommendations

Using Spotify data to create a recommendation system for The Beatles

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

Gopinathalpha7/E-Commerce_Customer_Segmentation

[ Analyzing the existing customer data and getting valuable insights about the purchase pattern ] | K-Means clustering | silhouette score | minmaxscalar |

Language: Jupyter Notebook - Size: 3.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

mamomen1996/R_CS_09

Customers RFM Clustering (Market Segmentation based on Behavioral Approach)

Language: HTML - Size: 2.98 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

zillur-av/k-means-algorithm

This is a Python implementation of k-means algorithm including elbow method and silhouette method for selecting optimal K

Language: Jupyter Notebook - Size: 143 KB - Last synced at: about 1 year ago - Pushed at: about 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