BBKNN specifications

Information


Unique identifier OMICS_31538
Name BBKNN
Alternative name Batch Balanced K Nearest Neighbours
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License MIT License
Computer skills Advanced
Stability Stable
Requirements
Cython, numpy, annoy, scanpy
Maintained Yes

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No version available

Maintainers


  • person_outline Jong-Eun Park
  • person_outline Krzysztof Polanski

Publication for Batch Balanced K Nearest Neighbours

BBKNN citation

library_books

Research on a Defects Detection Method in the Ferrite Phase Shifter Cementing Process Based on a Multi Sensor Prognostic and Health Management (PHM) System

2016
PMCID: 5017428
PMID: 27517935
DOI: 10.3390/s16081263

[…] s parameters can be conduced. Equation (9) is the sensitivity calculation formula for curing temperature, curing time, curing pressure and cementing strength: (9){∂f∂N=(1−cN)B exp(bα−cN)∂f∂t=∂f∂α∂α∂t=BbknN(t−tg)n−1exp[bα−cN−k(t−tg)n]∂f∂T=∂f∂α∂α∂k∂k∂T=BbnAnNEaRT2(t−tg)nexp[bα−cN−k(t−tg)n−nEaRT]In line with Equation (9) and , it can be known that when the curing pressure is 15.7 N, əf/əN ≈ 0. This m […]

BBKNN institution(s)
Cellular Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK; Cavendish Laboratory, Cambridge, UK

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