Abstracts

<p>A dataset containing the abstracts of papers
co-authored by Friedrich Leisch together with obtained metadata
and embeddings generated using GMT and OpenAI embeddings
models.</p>

datasets

Provides tools for estimation and clustering of spherical data, seamlessly integrated with the 'flexmix' package. Includes the necessary M-step implementations for both Poisson Kernel-Based Distribution (PKBD) and spherical Cauchy distribution. Additionally, the package provides random number generators for PKBD and spherical Cauchy distribution. Methods are based on Golzy M., Markatou M. (2020) <doi:10.1080/10618600.2020.1740713>, Kato S., McCullagh P. (2020) <doi:10.3150/20-bej1222> and Sablica L., Hornik K., Leydold J. (2023) <doi:10.1214/23-ejs2149>.

Lukas Sablica

circlus

Clustering and Simulation of Spherical Cauchy and PKBD Models

Kurt Hornik

Bettina Gruen

Josef Leydold

Abstracts function

<p>A data frame with 129 rows and 282 variables.</p>

Format

Abstracts of Papers Co-Authored by Friedrich Leisch — Abstracts

Abstracts of Papers Co-Authored by Friedrich Leisch

Abstracts: Abstracts of Papers Co-Authored by Friedrich Leisch

Description

Usage

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Format