{"id":18277700,"url":"https://github.com/eva-kaushik/data-clustering","last_synced_at":"2025-04-09T04:36:24.353Z","repository":{"id":233334234,"uuid":"787051654","full_name":"Eva-Kaushik/Data-Clustering","owner":"Eva-Kaushik","description":"Clustering Accelerators for hard and soft clustering, including implementations of K-means, K-medoids, hierarchical clustering, fuzzy C-means, and Gaussian mixture models. 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It includes implementations of various hard clustering algorithms such as K-means, K-medoids, and hierarchical clustering.\n\n#### Usage:\n\n```bash\npython functions_categorization_new.py\n```\n\n### text_clustering.py\n\nThis script demonstrates text clustering using hard clustering algorithms. It preprocesses text data, applies feature extraction techniques, and performs clustering using the implemented algorithms.\n\n#### Usage:\n\n```bash\npython text_clustering.py\n```\n\n---\n\n## Soft Clustering\n\nThis repository contains Python scripts for soft clustering and text clustering using soft clustering algorithms.\n\n### functions_categorization_soft.py\n\nThis 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.\n\n#### Usage:\n\n```bash\npython functions_categorization_soft.py\n```\n\n### text_clustering_soft.py\n\nThis script demonstrates text clustering using soft clustering algorithms. It preprocesses text data, applies feature extraction techniques, and performs clustering using the implemented algorithms.\n\n#### Usage:\n\n```bash\npython text_clustering_soft.py\n```\n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feva-kaushik%2Fdata-clustering","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feva-kaushik%2Fdata-clustering","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feva-kaushik%2Fdata-clustering/lists"}