Rough set

Related lectures (31)

Page 3 of 4

Explains k-means clustering, assigning data points to clusters based on proximity and minimizing squared distances within clusters.

Covers the design of wavelets using Fourier transform and procedures for selecting wavelet functions.

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.

Introduces integer numbers, well-ordering, induction principles, GCD, LCM, and Bezout's theorem.

Covers the properties and sets related to linear algebra, emphasizing the importance of understanding these concepts.

Explores counterfactuals in SEMs and D-Separation in graphical models.

Explores the homotopy theory of chain complexes, focusing on defining cylinder objects and left homotopy.

Covers the Lebesgue integration of simple functions and the approximation of nonnegative functions from below using piecewise constant functions.

Explores edge labels, skills like aggregation and deduction, and the structure of contents.

Explores the integrality gap concept in set cover and multiplicative weights algorithms.