Subject: Unsupervised Learning, Clustering, Hierarchical Clustering, Data Visualization, Machine Learning, Algorithm Optimisation, Machine Learning Tools, Blanket Clusterer, Silhouette Score
Year: 2022
Type: Proceeding article
Title: Blanket Clusterer: A Tool for Automating the Clustering in Unsupervised Learning
Author: Bogdanoski, Konstantin
Author: Mishev, Kostadin
Author: Trajanov, Dimitar
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.
Publisher:
Relation: DeLTA 2022 - 3rd International Conference on Deep Learning Theory and Applications
Identifier: oai:repository.ukim.mk:20.500.12188/27434
Identifier: http://hdl.handle.net/20.500.12188/27434
