Blanket Clusterer: A Tool for Automating the Clustering in Unsupervised Learning

Konstantin Bogdanoski, Kostadin Mishev, Dimitar Trajanov

2022

Abstract

We propose a generic hierarchical clustering algorithm - named Blanket Clusterer, which allows researchers to examine their data and verify the results gained from other machine learning techniques. We also integrate a three-dimensional visualization plugin that provides better understanding of the clustering results. We verify the tool on a specific use-case, i.e., measuring the clustering techniques performances on a textual dataset based solely on ICD-9 descriptions encoded using the Word2Vec distributed representations. The verification shows that Blanket Clusterer provides an efficient pipeline for evaluating and interpreting the most frequently used clustering methods in unsupervised learning.

Paper Citation

in Harvard Style

Bogdanoski K., Mishev K. and Trajanov D. (2022). Blanket Clusterer: A Tool for Automating the Clustering in Unsupervised Learning. In Proceedings of the 3rd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA, ISBN 978-989-758-584-5, pages 125-131. DOI: 10.5220/0011276000003277

in Bibtex Style

@conference{delta22,
author={Konstantin Bogdanoski and Kostadin Mishev and Dimitar Trajanov},
title={Blanket Clusterer: A Tool for Automating the Clustering in Unsupervised Learning},
booktitle={Proceedings of the 3rd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA,},
year={2022},
pages={125-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011276000003277},
isbn={978-989-758-584-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA,
TI - Blanket Clusterer: A Tool for Automating the Clustering in Unsupervised Learning
SN - 978-989-758-584-5
AU - Bogdanoski K.
AU - Mishev K.
AU - Trajanov D.
PY - 2022
SP - 125
EP - 131
DO - 10.5220/0011276000003277