Results 241 to 250 of about 798,948 (275)
Some of the next articles are maybe not open access.
Density Normalization in Density Peak Based Clustering
2017As a promising clustering approach, the density peak (DP) based algorithm utilizes the data density and carefully designed distance to identify cluster centers and cluster members. The key to this approach is the density calculation, which has a significant impact on the clustering results.
Jian Hou, Hongxia Cui
openaire +1 more source
2013
We study density-based clustering under low-noise conditions. Our framework allows for sharply defined clusters such as clusters on lower dimensional manifolds. We show that accurate clustering is possible even in high dimensions. We propose two data-based methods for choosing the bandwidth and we study the stability properties of density clusters.
Rinaldo, Alessandro, Wasserman, Larry
openaire +1 more source
We study density-based clustering under low-noise conditions. Our framework allows for sharply defined clusters such as clusters on lower dimensional manifolds. We show that accurate clustering is possible even in high dimensions. We propose two data-based methods for choosing the bandwidth and we study the stability properties of density clusters.
Rinaldo, Alessandro, Wasserman, Larry
openaire +1 more source
Enhanced Density Clustering Based on Density Decay Structure and Spectral Clustering
2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2023Yutong Ke, Zhiguo Long, Hua Meng
openaire +1 more source
Electroceramics for High-Energy Density Capacitors: Current Status and Future Perspectives
Chemical Reviews, 2021, Zhilun Lu, Linhao Li
exaly
Formulating energy density for designing practical lithium–sulfur batteries
Nature Energy, 2022Guangmin Zhou, Hao Chen
exaly
Interfacial engineering to achieve an energy density of over 200 Wh kg−1 in sodium batteries
Nature Energy, 2022Yuqi Li, Feixiang Ding, Xingguo Qi
exaly