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Clustering Accelerators for hard and soft clustering, including implementations of K-means, K-medoids, hierarchical clustering, fuzzy C-means, and Gaussian mixture models. Demonstrates text clustering using both hard and soft clustering algorithms.

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Hard Clustering

This repository contains Python scripts for hard clustering and text clustering using hard clustering algorithms.

functions_categorization_new.py

This script contains functions for performing hard clustering and categorization tasks. It includes implementations of various hard clustering algorithms such as K-means, K-medoids, and hierarchical clustering.

Usage:

python functions_categorization_new.py

text_clustering.py

This script demonstrates text clustering using hard clustering algorithms. It preprocesses text data, applies feature extraction techniques, and performs clustering using the implemented algorithms.

Usage:

python text_clustering.py

Soft Clustering

This repository contains Python scripts for soft clustering and text clustering using soft clustering algorithms.

functions_categorization_soft.py

This script contains functions for performing soft clustering and categorization tasks. It includes implementations of various soft clustering algorithms such as fuzzy C-means and Gaussian mixture models.

Usage:

python functions_categorization_soft.py

text_clustering_soft.py

This script demonstrates text clustering using soft clustering algorithms. It preprocesses text data, applies feature extraction techniques, and performs clustering using the implemented algorithms.

Usage:

python text_clustering_soft.py

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Clustering Accelerators for hard and soft clustering, including implementations of K-means, K-medoids, hierarchical clustering, fuzzy C-means, and Gaussian mixture models. Demonstrates text clustering using both hard and soft clustering algorithms.

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