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dbscan-clustering

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Hasnat-Aarif-Aslam / KMeans-Hierarchical-and-DBSCAN

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In this notebook, i have tried to appy KMeans, Hierarchical and DBSCAN clustering along PCA. The dataset used is Mall_Customers. In DBSCAN, certain type of Heatmaps are used to find the Epsilon and min_samples value which have performed quite well in identifying the correct number of clusters.

clustering kmeans kmeans-clustering hierarchical-clustering dbscan-clustering fine-tuning
  • Updated Apr 17, 2024
  • Jupyter Notebook

aaronlsmiles / Machine-Learning-with-Python

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Jupyter Notebooks exploring Machine Learning techniques -- regression, classification (K-nearest neighbour (KNN), Decision Trees, Logistic regression vs Linear regression, Support Vector Machine), clustering (k-means, Hierarchical Clustering, DBSCAN), sci-kit learn and SciPy -- and where it applies to the real world, including cancer detection, …

machine-learning clustering scikit-learn machine-learning-algorithms scipy logistic-regression support-vector-machine k-means decision-trees knn dbscan k-nearest-neighbours hierarchical-clustering dbscan-clustering knn-classification knn-classifier machinelearning-python
  • Updated May 21, 2020
  • Jupyter Notebook

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