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

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

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

Supervised hierarchical clustering

Clustering and recognition of faces in a photo album

Linkage Methods for Hierarchical Clustering

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

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

A Google Chrome extension that builds a hierarchical knowledge graph of your visited webpages

Comparison of K-Means and Agglomerative Clustering

Comparison of different linkages like complete, averagem ward on different datasets by plotting data on 2D plane by matplotlib

Different clustering and clustering metrics are implemented in this repository

SUTD 50.021 Artificial Intelligence Project - Wordle Solver using Reinforcement Learning

In Agglomerative we start with all points as individual clusters and then keep on combining clusters until required number of clusters are not formed using linkages like single, complete, average, ward or centroid.

The prog is written to construct the phylogenetic tree (dendrogram) based on DNA/Protein sequences of species given in a dataset using Agglomerative and Divisive Hierarchical Clustering and to compare Agglomerative and Divisive methods

Clustering algorithm implementaions from scratch with python (k-means, EM-GMM, mean-shift, agglomerative)

Merged Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.