LAUSR

Scalable Bayesian Nonparametric Clustering and Classification

Sign Up to like & get
recommendations!
0 Published in 2020 at "Journal of Computational and Graphical Statistics"

DOI: 10.1080/10618600.2019.1624366

Abstract: Abstract We develop a scalable multistep Monte Carlo algorithm for inference under a large class of nonparametric Bayesian models for clustering and classification. Each step is “embarrassingly parallel” and can be implemented using the same… read more here.

Keywords: bayesian nonparametric; nonparametric clustering; scalable bayesian; clustering classification ... See more keywords

Streaming Data Analysis: Clustering or Classification?

Sign Up to like & get
recommendations!
0 Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2020.3035957

Abstract: This article is a position paper about models and algorithms that are generally called “stream clustering.” Semantics and methods used in this field are often co-opted from static clustering, but they do not serve well… read more here.

Keywords: streaming data; clustering classification; analysis clustering; analysis ... See more keywords

Unlocking the Potential of Clustering and Classification Approaches: Navigating Supervised and Unsupervised Chemical Similarity

Sign Up to like & get
recommendations!
0 Published in 2024 at "Environmental Health Perspectives"

DOI: 10.1289/ehp14001

Abstract: Background: The field of toxicology has witnessed substantial advancements in recent years, particularly with the adoption of new approach methodologies (NAMs) to understand and predict chemical toxicity. Class-based methods such as clustering and classification are… read more here.

Keywords: classification; chemical; end point; clustering classification ... See more keywords

Decoding Lung Cancer Radiogenomics: A Custom Clustering/Classification Methodology to Simultaneously Identify Important Imaging Features and Relevant Genes

Sign Up to like & get
recommendations!
0 Published in 2025 at "Applied Sciences"

DOI: 10.3390/app15074053

Abstract: Background: This study evaluated a custom algorithm that sought to perform a radiogenomic analysis on lung cancer genetic and imaging data, specifically by using machine learning to see whether a custom clustering/classification method could simultaneously… read more here.

Keywords: classification; methodology; clustering classification; lung cancer ... See more keywords