Introduction
What this guide covers
A rigorous mathematical and algorithmic treatise on numerical taxonomy, the study of hyperspatial distances, variance decomposition, and clustering theory.
Overview
Topics covered
- Introduction
- Multivariate Cluster Analysis
- Introduction and Axiomatic Foundations of Numerical Taxonomy
- Formal Differentiation: Supervised Classification vs. Unsupervised Clustering
- Formulation of Homogeneity and Separability
- The Curse of Dimensionality in Metric Spaces
Related concepts
Main connections
Compatible notation
Mathematical sample in LaTeX
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\min_{f} \frac{1}{n}\sum_{i=1}^n \mathcal{L}(f(\mathbf{x}_i), y_i) + \lambda \Omega(f)