Model-based clustering methods for continuous data are well established and commonly used in a wide range of applications. However, model-based clustering methods for categorical data are less standard. Latent class analysis is a commonly used method for model-based clustering of binary data and/or categorical data, but due to an assumed local independence structure there may not be a correspon...

The paper discusses the use of latent variables in psychology and social science research. Local independence, expected value true scores, and nondeterministic functions of observed variables are three types of definitions for latent variables. These definitions are reviewed and an alternative "sample realizations" definition is presented. Another section briefly describes identification, laten...

This paper crime scenes forensics and law enforcement is (latent fingerprint matching) techniques. In crime scenes and forensics Latent fingerprint identifying is an important latent fingerprint is poor quality image cannot easy to extract. It is matching latent fingerprint image it is necessary to extract features for efficient to improve the matching accuracy. The different latent matching al...

it is assumed that about 10% of individuals infected with mycobacterium tuberculosis develop tuberculosis. the rate of tuberculosis in solid organ transplant recipients has been estimated to be 50-fold higher than in the general population. candidates for solid organ transplantation are routinely screened for latent tuberculosis infection (ltbi). in this study we aimed to compare tuberculin ski...

A method of latent periodicity search is developed. We use mutual information to reveal the latent periodicity of mRNA sequences. The latent periodicity of an mRNA sequence is a periodicity with a low level of similarity between any two periods inside the mRNA sequence. The mutual information between an artificial numerical sequence and an mRNA sequence is calculated. The length of the artifici...