نتایج جستجو برای: cluster validity measure

تعداد نتایج: 633419  

Journal: :Integrative cancer therapies 2015
Rachel Jolliffe Helen Seers Sarah Jackson Elena Caro Laura Weeks Marie J Polley

OBJECTIVE Measure Yourself Concerns and Wellbeing (MYCaW) is a patient-centered questionnaire that allows cancer patients to identify and quantify the severity of their "concerns" and "wellbeing," as opposed to using a predetermined list. MYCaW administration is brief and aids in prioritizing treatment approaches. Our goal was to assess the convergent validity and responsiveness of MYCaW scores...

Journal: :health education and health promotion 0
fatemeh nahidi assistant professor, department of midwifery and reproductive health, school of nursing & midwifery, shahid beheshti university of medical sciences, tehran, islamic republic of iran sedigheh sadat tavafian associate professor, department of health education & health promotion, faculty of medical sciences, tarbiat modares university, tehran, iran mohammad heidarzadeh neonatal health office, ministry of heath, tehran, ir iran ebrahim hajizadeh professor, department of biostatistics, faculty of medical sciences, tarbiat modares university, tehran, iran

aim: despite the evidence suggesting the positive impact of the immediate mother-newborn skin-to-skin contact (scc), it has not yet been adopted to use for healthy newborn in iran. no study has explained the reasons. this study aimed to survey midwives' opinions about the predisposing factors in scc at birth in tehran hospitals in 2014.method: the samples, in this cross sectional descripti...

2018
Luzie Helfmann Johannes von Lindheim Mattes Mollenhauer Ralf Banisch

Quality assessments of models in unsupervised learning and clustering verification in particular have been a long-standing problem in the machine learning research. The lack of robust and universally applicable cluster validity scores often makes the algorithm selection and hyperparameter evaluation a tough guess. In this paper, we show that cluster ensemble aggregation techniques such as conse...

2010
Sauravjyoti Sarmah Dhruba K. Bhattacharyya

This paper presents a clustering technique (GenClus) for gene expression data which can also handle incremental data. It is designed based on density based approach. It retains the regulation information which is also the main advantage of the clustering. It uses no proximity measures and is therefore free of the restrictions offered by them. GenClus is capable of handling datasets which are up...

Journal: :Astronomy and Astrophysics 2021

We use a new spherical accretion recipe tested on N -body simulations to measure the observed mass rate (MAR) of 129 clusters in Cluster Infall Regions Sloan Digital Sky Survey (CIRS) and Hectospec (HeCS). The cover redshift range 0.01 < z 0.30 ?10 14 ? 10 15 h ?1 M ? . Based three-dimensional profiles simulated reaching beyond virial radius, our returns MARs that agree with based merger tre...

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