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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

Related Keywords
agglomerative 23 clustering 14 dbscan 8 kmeans 6 k-means 6 agglomerative-clustering 5 rand-index 4 scikit-learn 4 python 4 machine-learning 4 hierarchical-clustering 3 orl-dataset 3 experiment 2 graph 2 iterative 2 louvain 2 modularity 2 kmeans-clustering 2 optimization 2 dbscan-clustering 2 detection 2 community 2 algorithm 2 gmm 2 unsupervised-learning 2 silhouette-score 2 clustering-algorithm 2 document-clustering 1 gaussian-mixture-model 1 wrapper 1 visualization 1 tfidf 1 spectral 1 mini-batch-kmeans 1 real-time 1 online 1 seeds 1 affinity-propagation 1 birch 1 cbow 1 data-stream 1 offline 1 mean-shift 1 data-stream-clustering 1 hdbscan 1 statistics 1 statistical-analysis 1 java 1 twitter-streaming-api 1 nmf 1 perceptron 1 kernelized-perceptron 1 kernel-trick 1 kernel-approximation 1 single-linkage 1 algorithms 1 gaussian-mixture-models 1 principal-component-analysis 1 k-medoids 1 customer-segmentation 1 comparison 1 rand-index-score 1 agglomerative-single-link 1 agglomerative-complete-link 1 agglomerative-average-link 1 tokenization 1 tf-idf 1 term-weighting 1 querying 1 indexing 1 face-detection 1 face-clustering 1 face 1 f-measure 1 dlib 1 db-scan 1 awesome 1 arcface 1 hierarchical 1 greedy 1 openmp 1 multithreading 1 unsupervised-machine-learning 1 pandas 1 numpy 1 matplotlib-pyplot 1 hyperparameter-optimization 1 dendrogram 1 dendogram 1 data-visualization 1 data-analysis 1 cluster-profiling 1 ward 1 shiny-apps 1 minkowski-distance 1 manhattan-distance 1 linkage 1 euclidean-distances 1 euclidean 1 canberra 1