agglomerative-clustering

Here are 249 public repositories matching this topic...

PacktWorkshops / The-Unsupervised-Learning-Workshop

An Interactive Approach to Understanding Unsupervised Learning Algorithms

topic-modeling k-means principal-component-analysis hierarchical-clustering dbscan-clustering market-basket-analysis agglomerative-clustering hotspot-analysis

Updated Jan 21, 2021
Jupyter Notebook

shubhamjha97 / hierarchical-clustering

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A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

data-mining clustering data-mining-algorithms hierarchical-clustering agglomerative-clustering dendrogram divisive-clustering

Updated Nov 22, 2020
Python

SSQ / Coursera-UW-Machine-Learning-Clustering-Retrieval

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kd-tree locality-sensitive-hashing tf-idf mapreduce k-means approximate-nearest-neighbor-search mixture-model latent-dirichlet-allocation word-count gibbs-sampling em-algorithm hidden-markov-models hierarchical-clustering agglomerative-clustering k-nearest-neighbors dendrogram k-means-plus-plus divisive-clustering

Updated Jan 31, 2019
Python

sharmaroshan / Clustering-of-Mall-Customers

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Clustering Analysis Performed on the Customers of a Mall based on some common attributes such as salary, buying habits, age and purchasing power etc, using Machine Learning Algorithms.

clustering eda data-visualization data-analysis beginner kmeans-clustering dendrograms agglomerative-clustering elbow-method

Updated May 23, 2019
Jupyter Notebook

dinggd / Dispersion-based-Clustering

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The source code for our work "Towards better Validity: Dispersion based Clustering for unsupervised Person Re-identification"

person-reidentification agglomerative-clustering

Updated Jun 15, 2019
Python

andreduong-zz / credit-card-clustering

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PCA. Clustering Algorithms. Business Analytics.

clustering exploratory-data-analysis gaussian-mixture-models data-analysis data-cleaning kmeans-clustering agglomerative-clustering

Updated Jun 30, 2019
Jupyter Notebook

srp98 / Unsupervised-Learning

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Clustering Algorithms based on centroids namely K-Means Clustering, Agglomerative Clustering and Density Based Spatial Clustering

numpy random scikit-learn scipy matplotlib python-3 density-based-clustering k-means-clustering agglomerative-clustering

Updated Oct 2, 2020
Python

OlaPietka / Agglomerative-Hierarchical-Clustering-from-scratch

Sponsor

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Build Agglomerative hierarchical clustering algorithm from scratch, i.e. WITHOUT any advance libraries such as Numpy, Pandas, Scikit-learn, etc.

machine-learning from-scratch clustering-algorithm agglomerative-clustering

Updated May 27, 2023
Python

waynezhanghk / gacluster

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Graph Agglomerative Clustering Library

clustering community-detection mnist k-means unsupervised-learning dbscan clustering-evaluation hierarchical-clustering graph-clustering spectral-clustering spectral-clustering-algorithm agglomerative-clustering fashion-mnist image-clustering deep-clustering

Updated Jul 4, 2019
MATLAB

avirichie / Customer-Segmentation-using-Unsupervised-Learning

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This project shows how to perform customers segmentation using Machine Learning algorithms. Three techniques will be presented and compared: KMeans, Agglomerative Clustering ,Affinity Propagation and DBSCAN.

cluster unsupervised-learning clustering-algorithm kmeans-clustering dbscan-clustering affinity-propagation agglomerative-clustering customer-segmentation-analysis

Updated Oct 19, 2020
Jupyter Notebook

iesl / expLinkage

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Supervised hierarchical clustering

hac hierarchical-clustering agglomerative-clustering supervised-clustering

Updated Apr 25, 2020
Python

rochitasundar / Stock-clustering-using-ML

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The project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and face lower risk by tempering potential losses when the market is down.

principal-component-analysis k-means-clustering agglomerative-clustering elbow-plot dendrogram sklearn-library standardscaler linkage-analysis silhouette-score scipy-library cophenetic-distance

Updated Jan 20, 2022
Jupyter Notebook

anshul1004 / CountriesSearchEngine

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A search engine built to retrieve geographical information of any country.

Updated May 10, 2020
Python

ShariqAhmed007 / MLmatchmaking

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Using Machine Learning to find people with similar personalities & interest for matchmaking

machine-learning r-language unsupervised-learning principal-component-analysis kmeans-clustering hierarchical-clustering agglomerative-clustering

Updated Sep 4, 2020
R

vaitybharati / Assignment-08-PCA-Data-Mining-Wine-

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Assignment-08-PCA-Data-Mining-Wine data. Perform Principal component analysis and perform clustering using first 3 principal component scores (both heirarchial and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data (class column we h…