February 2019
Intermediate to advanced
386 pages
9h 54m
English
Content preview from Hands-On Unsupervised Learning with Python
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Questions
- Is a half-moon-shaped dataset a convex cluster?
- A bidimensional dataset is made up of two half-moons. The second one is fully contained in the concavity of the first one. Which kind of kernel can easily allow the separation of the two clusters (using spectral clustering)?
- After applying the DBSCAN algorithm with ε=1.0, we discover that there are too many noisy points. What should we expect with ε=0.1?
- K-medoids is based on the Euclidean metric. Is this correct?
- DBSCAN is very sensitive to the geometry of the dataset. Is this correct?
- A dataset contains 10,000,000 samples and can be easily clustered using a large machine using K-means. Can we, instead, use a smaller machine and mini-batch K-means?
- A cluster has a standard deviation ...
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