GitHub topics: agglomerative
Leox2f/credit_card_customer_segmentation
Customer segmentation analysis on credit card users to identify distinct customer groups based on their behavior and characteristics. The analysis uses unsupervised machine learning techniques, specifically K-means clustering, to group customers into meaningful segments.
Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

njabdullah/Clustering-Stocks-Based-on-VaR
codes to cluster stocks into groups based on value at risk using K-Means, Agglomerative, and GMM.
Language: Jupyter Notebook - Size: 27.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

puzzlef/louvain-communities-openmp-dynamic
Design of OpenMP-based Parallel Dynamic Louvain algorithm for community detection.
Language: C++ - Size: 256 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0

puzzlef/louvain-communities-openmp
Design of OpenMP-based Parallel Louvain algorithm for community detection.
Language: C++ - Size: 188 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 3 - Forks: 1

filipusarif/Clustering-Python
Clustering with Agglomerative and DBSCAN algorithm Machine Learning
Language: Python - Size: 752 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

hamidsadeghi68/face-clustering
Clustering Algorithms and their Application to Facial Image Analysis
Language: Jupyter Notebook - Size: 30.4 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 2

swastipriya/Agglomerative-hierarchical-clustering-on-pearson-correlation
Language: R - Size: 13.7 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 2

JavidChaji/FUM-Computational-Intelligence-Clustering-Models-On-ORL
Computational Intelligence Clustering Models On ORL
Language: Python - Size: 3.18 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Melika-Zabihi/Clustering_Orl_Dataset
Applying various clustering methods on ORL dataset with post processing enhancement
Language: Python - Size: 1.1 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yasinakinn/hierarchical-clustering
Linkage Methods for Hierarchical Clustering
Language: Python - Size: 9.77 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 1

msikorski93/Seed-Clustering
Performing basic clustering on a seeds dataset.
Language: Jupyter Notebook - Size: 929 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shayneobrien/text-cluster
Offline and online (i.e., real-time) annotated clustering methods for text data.
Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 5

div5yesh/information-retrieval
Explores information retrieval techniques.
Language: Python - Size: 835 KB - Last synced at: 12 months ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 2

hamedrq7/Clustering-practice
This is a homework about Clustering for machine learning course @ FUM.
Language: Jupyter Notebook - Size: 2.42 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

TahaTabatabaei/Image-clustering
simple image clustring (university assignment)
Language: Python - Size: 1.54 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hacetin/kmeans-and-agglomerative
Comparison of K-Means and Agglomerative Clustering
Language: Python - Size: 4.47 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 0

dyt08/credit-card-customer-segmentation-using-kmedoids-etc
Credit Card Customer Segmentation using Agglomerative, K-Means, & K-Medoids
Language: Jupyter Notebook - Size: 8.55 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 2

sidharth178/Mall-Customers-Segmentation
This case requires to develop a customer segmentation to understand customer's behaviour and separate them in different groups according to their preferences, and once the division is done, this information can be given to marketing team so they can plan the strategy accordingly.
Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2

Howuhh/mst_clustering
implementation of agglomerative single linkage clustering with minimum spanning tree algorithm
Language: Jupyter Notebook - Size: 968 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 1

arashsm79/machine-learning-lab
Exploring meachine learning techniques and algorithms. Including clustering algorithms, perceptron and, more.
Language: HTML - Size: 26 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

itsoum/ML-DsUniPi
Data mining and knowledge discovery from social media : implementation data analysis methods on data collection from Twitter
Language: Python - Size: 1.48 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 0

dhpancor/java-agglomerative-clustering
Implementation of an agglomerative clustering algorithm.
Language: Java - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

myz540/Agglomerative-Clustering-Algorithm
Agglomerative clustering algorithm in C++
Language: C++ - Size: 326 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0
