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CodeSignal

Hierarchical Clustering Deep Dive

via CodeSignal

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Overview

Unpack the complexity of hierarchical clustering, learning to construct and interpret dendrograms for valuable data insights, and apply your knowledge to real-world data.

Syllabus

  • Unit 1: Hierarchical Clustering: An In-Depth Guide with Python Implementation
    • Constellation Clustering with Iris Data
    • Visualizing Flower Clusters using Agglomerative Clustering
    • Manipulating the number of clusters
    • Navigating the Stars: Computing Euclidean Distances in Clustering
    • Merging Clusters in the Stars
  • Unit 2: Understanding and Implementing Distance Metrics in Hierarchical Clustering
    • Clustering Constellations: Observing Distance Metrics in Action
    • Exploring Feature Space with Clustering Visualization
    • Distance Metric Transformation
    • Implementing Distance Measures in Clustering
    • Charting the Cosmic Distances
  • Unit 3: Understanding Linkage Criteria in Hierarchical Clustering
    • Exploring Star Clusters: The Impact of Different Linkage Methods
    • Exploring Cluster Numbers in Hierarchical Clustering
    • Exploring Cluster Configurations in Hierarchical Clustering
    • Merging Clusters in the Cosmos
  • Unit 4: Understanding Dendrograms with Python in Hierarchical Clustering
    • Visualizing City Connections with a Dendrogram
    • Exploring New Horizons with the 'Complete' Linkage Method
    • Cosmic Hierarchies: Visualizing the Clustered Stars
    • Plot the Path: Creating a Dendrogram

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