This paper deals with similarity measures for categorical data in hierarchical clustering,
which can deal with variables with more than two categories, and which aspire to replace …

Research in innovation studies usually relies on financial statements, surveys, or patents as
primary data sources, although these sources of information show some limitations when …

Planned communication is widely recognized as a fundamental tool for risk and disaster
management (RDM). This study aimed to analyze the communication strategy of RDM …

There is a growing interest in disaster risk management due to an increasing vulnerability to
extreme natural events and man-made disasters that prevent normal relations in societies …

Background Functional groups serve two important functions in ecology: they allow for
simplification of ecosystem models and can aid in understanding diversity. Despite their …

The paper discusses eleven internal evaluation criteria that can be used in the area of
hierarchical clustering of categorical data. The criteria are divided into two distinct groups …

In recent decades, in vivo magnetic resonance imaging (MRI) studies have provided
previously inaccessible insights into the structure and function of healthy and pathological …

The objective of clusterability evaluation is to check whether a clustering structure exists
within the data set. As a crucial yet often-overlooked issue in cluster analysis, it is essential …

The objective of clusterability evaluation is to check whether a clustering structure exists
within the data set. As a crucial yet often-overlooked issue in cluster analysis, it is essential …

The paper focuses on visualization methods suitable for outcomes of cluster analysis of
categorical data (nominal data, specifically). Since nominal data have no inherent order …