Topic: "davies-bouldin"
Simon-Bertrand/Clusters-Features
The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes approximatively 40 internal evaluation scores such as Davies-Bouldin Index, C Index, Dunn and its Generalized Indexes and many more ! Other features are also available to evaluate the clustering quality.
Language: Python - Size: 23.9 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 32 - Forks: 8
y656/Weather-data-clustering
This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset
Language: Jupyter Notebook - Size: 241 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1
nwiroonsri/NCvalid
Algorithms for computing cluster validity indices including a new correlation-based called Wiroonsri index
Language: R - Size: 140 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
imane-ayouni/Customer-Segmentation
Clustering algorithms to segment clients of a distribution company
Language: Jupyter Notebook - Size: 48.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
imane-ayouni/Chicago-Public-School-Students-Clustering
Unsupervised learning algorithms to cluster students of a public school
Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1