October 2018
Intermediate to advanced
172 pages
4h 6m
English
Content preview from Machine Learning with scikit-learn Quick Start Guide
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Cluster visualization
Visualizing how your clusters are formed is no easy task when the number of variables/dimensions in your dataset is very large. There are two main methods that you can use in order to visualize how the clusters are distributed, as follows:
- t-SNE: This creates a map of the dataset in two-dimensional space
- Hierarchical clustering: This uses a tree-based visualization, known as a dendrogram, in order to create hierarchies
In this section, you will learn how to implement these visualization techniques, in order to create compelling cluster visuals.
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