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hdbscan

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The thesis presents the parallelisation of a state-of-the art clustering algorithm, FISHDBC. This objective has been achived by improving the main data structures and components of the algorithm: HNSW, MST and HDBSCAN. My contribution is based on a lock-free strategy, completely wrote in Python.

  • Updated Jan 16, 2024
  • Python
active-learning-with-deep-learning-for-nlp

We present our concept of a new type of Active-Learning for Deep Learning with NLP text classification and experimentally prove its performance against Random Sampling as well as its runtime performance on the Security Threat dataset from CySecAlert. These new Active Learning algorithms are based on Sentence-BERT and BERTopic clustering algorith…

  • Updated Jun 5, 2022
  • Jupyter Notebook

Supervised Machine Learning (GNB, Knn, LR, MLP & SVM) in the dataset philippines and Unsupervised Machine Learning (k-means, HAC, GMM, DBSCAN, HDBSCAN & SOM) in the datasets wingnut & h2mg_128_90

  • Updated Dec 28, 2023
  • Jupyter Notebook

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