In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...

Abstract: Hierarchical clustering is a method in data mining and statistics used to build a hierarchy of clusters. Traditional hierarchical clustering relies on a measure of dissimilarity to combine ...

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...

Abstract: Hierarchical agglomerative clustering treats given data as a singleton cluster at the outset and then successively merge (or agglomerate) pairs of clusters until all clusters have been ...

Hierarchical namespaces make it easier to share your cluster by making namespaces more powerful. For example, you can create additional namespaces under your team's namespace, even if you don't have ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Clustering techniques are consolidated as a powerful strategy for analyzing the ...

Autoimmune conditions and ‘breast implant illness’ in breast cancer patients with implant-based breast reconstructions. Proportions of patients with clinically meaningful symptoms by CL at Y1 (may not ...

ABSTRACT: This article examines the compatibility of Predictive Processing Theory (PPT), or the theory of anticipatory brain, with other contemporary scientific and philosophical frameworks that offer ...

Proyek ini merupakan hasil dari SKRIPSI saya yang berjudul "KLASTERISASI MINAT BACA MASYARAKAT KOTA TERNATE MENGGUNAKAN ALGORITMA HIERARCHICAL CLUSTERING (STUDI KASUS DINAS PERPUSTAKAAN DAN KEARSIPAN ...

The video game industry has evolved leaps and bounds over the last half century, from simple arcade-like gameplay to highly immersive, intelligent, and interactive gaming. With advancements in ...