نتایج جستجو برای: cluster pattern
تعداد نتایج: 540329 فیلتر نتایج به سال:
Standard electrophoresis methods were used in the qualitative and quantitative protein analyses of cerebrospinal fluid (CSF). Disc electrophoresis was carried out for detection of oligoclonal IgG bands in cerebrospinal fluid on polyacrylamide gel. Pairs of CSF and serum were taken from 30 patients, mainly with multiple sclerosis and other central nervous system dysfunctions, polyradiculoneuriti...
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. We consider eventually large Boolean data sets which record properties of objects and we assume that a bi-partition is available. We introduce a generic cluster characterization technique which is based on collec...
Seizure clustering is a common and significant phenomenon in patients with epilepsy. The clustering of spontaneous recurrent seizures (SRSs) in animal models of epilepsy, including mouse pilocarpine models, has been reported. However, most studies have analyzed seizures for a short duration after the induction of status epilepticus (SE). In this study, we investigated the detailed characteristi...
ii Acknowledgements I would like to thank my adviser Prof. Tishby for his guidance and assistance in producing this work, and for his suggestions and positive input. I would also like to thank Beata Beigman Klebanov for her constant help and advice throughout this work, including (but definitely not limited to) the contribution of the parsed data used here. Also deserving of thanks are my famil...
Objectives Patients with diabetic peripheral neuropathy (DPN) is the most common complication. However, patients are usually suffering from not only diverse sensory deficit but also neuropathy-related discomforts. The aim of this study is to identify distinct groups of patients with DPN with respect to its clinical impacts on symptom patterns and comorbidities. Methods A hierarchical cluster ...
background: the trajectory of marital quality over the life course assumes a curvilinear pattern and declines over time. however, most studies to date have been conducted in developed societies, leaving the generalizability of their findings open to skepticism. in this study, we aimed to delineate the trajectory of marital satisfaction in iran. methods: using cluster-sampling method, representa...
We investigate cluster formation in populations of coupled chaotic model neurons under homogeneous global coupling, and distance-dependent coupling, where the coupling weights between neurons depend on their relative distance. Three types of clusters emerge for global coupling: synchronized cluster, two state cluster and antiphase cluster. In addition to these, we find a novel three state clust...
This study aims to compare the hierarchical cluster analysis method classify value of trading and transportation margin (MPP) into three groups, each with specific characteristics for commodity strategy. Cophenetic correlation shows that average is best classifying strategic MPPs in Indonesia 2021. Cluster 1 has moderate shallots, rice, purebred chicken. At same time, Red Chili low MPP this clu...
PURPOSE To determine whether an unsupervised machine learning classifier can identify patterns of visual field loss in standard visual fields consistent with typical patterns learned by decades of human experience. METHODS Standard perimetry thresholds for 52 locations plus age from one eye of each of 156 patients with glaucomatous optic neuropathy (GON) and 189 eyes of healthy subjects were ...
Recognition of Crowd Behavior from Mobile Sensors with Pattern Analysis and Graph Clustering Methods
Mobile on-body sensing has distinct advantages for the analysis and understanding of crowd dynamics: sensing is not geographically restricted to a specific instrumented area, mobile phones offer on-body sensing and they are already deployed on a large scale, and the rich sets of sensors they contain allows one to characterize the behavior of users through pattern recognition techniques. In this...
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