Results 251 to 260 of about 232,386 (277)

Fuzzy Spectral Clustering

Spectral clustering is a well-known method for grouping objects by analyzing the spectral properties of a similarity matrix. It is based on graph theory and is particularly suitable for nonlinearly separable cluster structures. Typically, clusters are obtained through a hard partitioning of the data.
Di Nuzzo, Cinzia, Zaccaria, Giorgia
openaire   +2 more sources

Spectral Clustering

2017
Sławomir T. Wierzchoń, Mieczysław A. Kłopotek   +1 more
openaire   +2 more sources

Spectral Clustering

2018
Jialu Liu, Jiawei Han
openaire   +1 more source

Broad spectral tuning of ultra-low-loss polaritons in a van der Waals crystal by intercalation

Nature Materials, 2020
Javier Taboada-Gutiérrez, Gonzalo Álvarez-Pérez, Jiahua Duan   +2 more
exaly  

Spectral Clustering

2011
openaire   +2 more sources

Enhancing solar cell efficiency: the search for luminescent materials as spectral converters

Chemical Society Reviews, 2013
Xiaoyong Huang, Sanyang Han, Wei Huang
exaly  

Spectral Clustering

2009
Sergios Theodoridis, Konstantinos Koutroumbas   +1 more
openaire   +1 more source

Enhanced photovoltaic energy conversion using thermally based spectral shaping

Nature Energy, 2016
Andrej Lenert, Walker R Chan, Bikram Bhatia   +2 more
exaly  

Spectral Methods for Numerical Relativity

Living Reviews in Relativity, 2009
Philippe Grandclément, Jerome Novak
exaly  

Spectral mapping of thermal conductivity through nanoscale ballistic transport

Nature Nanotechnology, 2015
Yongjie Hu, Lingping Zeng, Austin J Minnich   +2 more
exaly