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CodeSignal

Density-Based Clustering Simplified

via CodeSignal

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Overview

Explore the nuanced world of density-based clustering. Learn to navigate through DBSCAN, focusing on connectivity and density functions to identify unique cluster shapes.

Syllabus

  • Unit 1: Density Based Clustering
    • DBSCAN Clustering Performance Evaluation
    • Adjusting MinPts Parameter in DBSCAN Algorithm
    • DBSCAN Clustering Implementation Task
    • DBSCAN Clustering Implementation Task
  • Unit 2: DBSCAN Clustering in R
    • Visualizing Moon-Shaped Clusters with DBSCAN
    • Fine-Tuning DBSCAN Clustering Parameters
    • DBSCAN Model Setup and Clustering Task
    • DBSCAN Model Integration and Visualization with ggplot2
    • Visualizing DBSCAN Clusters with R
  • Unit 3: DBSCAN Distance Metrics
    • Exploring DBSCAN Parameter Effects on Astronomical Data Clustering
    • Change Distance Metric in DBSCAN Clustering Task
    • DBSCAN with Custom Distance Metrics and Visualization
    • DBSCAN Clustering with Multiple Distance Metrics

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