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Table 1

Overview of different classification and clustering algorithms with examples.

Type Classification Clustering

Hard nearest neighbour, K-means,
Fisher’s linear spectral clustering,
discriminant analysis, kernel PCA
decision trees, support
vector machines

Soft naïve Bayes, Gaussian mixture
linear/quadratic models
discriminant analysis,
neural networks

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