About this document
EM Algorithm for Gaussian Clustering by 2023.hridayaa.borhade is a document available to read on EtoBox.
The document explains the EM (Expectation-Maximization) algorithm for clustering, highlighting its use of Gaussian distributions to model data points and iteratively adjust parameters for better fitting. It contrasts EM with K-Means clustering, noting that EM allows for soft clustering based on probabilities, while K-Means is a hard clustering method. Additionally, it briefly introduces Linear Discriminant Analysis (LDA) as a supervised dimensionality reduction technique aimed at maximizing class separabili
- Author
- 2023.hridayaa.borhade
- Language
- EN