Results 131 to 140 of about 11,198,889 (292)
An optimized initialization center K-means clustering algorithm based on density
, 2015 Traditional K-means algorithm's clustering effect is affected by the initial cluster center points. To solve this problem, a method is proposed to optimize the K-means initial center points.
Xiaofeng Zhou +5 more
core +1 more source
FEBS Letters, EarlyView.An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
ANALISIS K-MEANS CLUSTER INDEKS PEMBANGUNAN MANUSIA DI INDONESIA
, 2019 Pembangunan manusia dalam suatu negara diperlukan untuk menciptakan kesejahteraan dan membuat perkembangan dalam suatu negara sehingga perlu dilihat terlebih dahulu kualitas sumber daya manusia dalam negara tersebut.
ANALISIS K-MEANS CLUSTER INDEKS PEMBANGUNAN MANUSIA DI INDONESIA, 4112315018
core
Combining the Kohonen Self-Organizing Map and K-Means for On-Line Classification of Sensordata [PDF]
, 2001 Many devices, like mobile phones, use contextual profiles like in the car or in a meeting to quickly switch between behaviors. Achieving automatic context detection, usually by analysis of small hardware sensors, is a fundamental problem in human ...
Van Laerhoven, Kristof
core
FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
EnergiesDeep learning approaches have been successfully applied to perform automatic classification of phase-resolved partial discharge (PRPD) diagrams. Under the supervised learning paradigm, however, the performance of classifiers strongly depends on the ...
Ronaldo F. Zampolo +4 more
doaj +1 more source
Electron transfer between complexes III and IV in S. cerevisiae mitochondrial membranes
FEBS Letters, EarlyView.Mitochondrial oxidative phosphorylation in S. cerevisiae mitoplasts is limited by complex IV catalytic capacity, rather than two‐dimensional cytochrome c diffusion. At physiological cytochrome c : supercomplex ratios at salinity equivalent to that of 20 mm monovalent salt, activity is maximized, indicating that this low ionic strength accurately mimics
Ana Paula Lobez +2 more
wiley +1 more source
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Clustering with Niching Genetic K-means Algorithm
, 2004 GA-based clustering algorithms often employ either simple GA, steady state GA or their variants and fail to consistently and efficiently identify high quality solutions (best known optima) of given clustering problems, which involve large data sets with ...
Liu, X +8 more
core +1 more source