Abstract: In this paper, a simplified maximum likelihood classification method is applied to cluster-space hyperspectral data analysis. A principal components (PC) transformation is firstly used for ...

A two-way analysis of variance model with correlated errors in one classification is discussed. It is assumed that the p measurements in each row have a general covariance matrix Σ. The maximum ...

This repository focuses on implementing and analyzing the Mixture of Gaussians (MoG) model for clustering and classification problems, including the use of the Expectation-Maximization (EM) algorithm ...

ABSTRACT: Rivers still play an important role in our societies, mainly as a water resource and a place of recreation, but nowadays, human activities have led to a profound modification of the natural ...

"--feature" "-f" : The N-gram model to use Choices: "unigram", "bigram", "trigram" "--smoothing" "-s" : The smoothing type to use Choices: "none", "add1", "linear" By ...