The abundance of functional observations in scientific endeavors has led to a significant
development in tools for functional data analysis (FDA). This kind of data comes with several …

In spite of the current availability of numerous methods of cluster analysis, evaluating a
clustering configuration is questionable without the definition of a true population structure …

Abstract Geo-Object-Based Image Analysis (GEOBIA) is becoming an increasingly important
technology for information extraction from remote sensing images. Multi-scale image …

Despite its popularity, it is widely recognized that the investigation of some theoretical
aspects of clustering has been relatively sparse. One of the main reasons for this lack of …

Skeletal muscles support the stability and mobility of the skeleton but differ in biomechanical
properties and physiological functions. The intrinsic factors that regulate muscle-specific …

In the field of geomorphology, automated extraction and classification of landforms is one of
the most active research areas. Until the late 2000s, this task has primarily been tackled …

Eye-tracking studies have revealed a specific visual exploration style characterizing
individuals with autism spectrum disorder (ASD). The aim of this study is to investigate the …

Existing large gene expression data repositories hold enormous potential to elucidate
disease mechanisms, characterize changes in cellular pathways, and to stratify patients …

We propose a new method for clustering based on local minimization of the gamma-
divergence, which we call spontaneous clustering. The greatest advantage of the proposed …

Modal clustering is an unsupervised learning technique where cluster centers are identified
as the local maxima of nonparametric probability density estimates. A natural algorithmic …