نتایج جستجو برای: fuzzified fcm
تعداد نتایج: 3422 فیلتر نتایج به سال:
BACKGROUND Iron deficiency is common in patients with heart failure (HF) and is associated with reduced exercise capacity and poor outcomes. Whether correction of iron deficiency with (intravenous) ferric carboxymaltose (FCM) affects peak oxygen consumption [peak VO2], an objective measure of exercise intolerance in HF, has not been examined. METHODS We studied patients with systolic HF (left...
خوشه بندی فازی مبتنی بر الگوریتم های تکاملی و هوش ازدحامی یکی از زمینه های تحقیقاتی فعال می باشد که اخیراً بسیار موردتوجه قرارگرفته است. عملکرد مناسب در رویکرد خوشه بندی با توجه به معیارهایی همچون، توانایی تعیین خودکار تعداد بهینه ی خوشه ها، توانایی پیدا کردن پارتیشن بندی مناسب، دقت کلاس بندی، میزان پیچیدگی زمان محاسباتی و سرعت همگرایی برای فضای ابعاد وسیعی از مجموعه داده ها ارزیابی می شود. بناب...
As with any other multivariate statistical method, Principal Components Analysis is sensitive to outliers, missing data, and poor linear correlation between variables due to poorly distributed variables. As a result data transformations have a large impact upon PCA. This paper introduces a powerful approach to improve PCA: robust fuzzy PCA algorithm (FPCA). The matrix data is fuzzified, thus di...
Flow cytometry (FCM) was adapted to measure ploidy values in megakaryocytes isolated from normal guinea pigs and African green monkeys. The FCM approach was validated by microscopic identification of electronically sorted SN and higher ploidy cells and by comparisons with Feulgen microdensitometry on the same samples. Sorted 8N populations contained only megakaryocytes and were completely free ...
The purpose of this study is to apply fuzzy theory on health care. To achieve this goal, Beck Depression Inventory (BDI)-II was adopted as the instrument and outpatients of a psychiatric clinic were recruited as samples and undergraduates as non-clinical sample as well. To elicit the membership degree, we asked the subjects are free to choose more than one alternative for each item listed in BD...
Pattern recognition is the science of data structure and its classification. There are many classification and clustering methods prevalent in pattern recognition area. In this research, rainfall data in a region in Northern Iran are classified with natural breaks classification method and with a revised fuzzy c-means (FCM) algorithm as a clustering approach. To compare these two methods, the r...
PURPOSE Here, we evaluate the sensitivity and specificity of a new 11-parameter flow cytometry (FCM) approach versus conventional cytology (CC) for detecting neoplastic cells in stabilized CSF samples from newly diagnosed aggressive B-cell non-Hodgkin's lymphoma (B-NHL) at high risk of CNS relapse, using a prospective, multicentric study design. PATIENTS AND METHODS Moreover, we compared the ...
The weighting exponentm is called the fuzzifier that can influence the performance of fuzzy c-means (FCM). It is generally suggested that mA[1.5,2.5]. On the basis of a robust analysis of FCM, a new guideline for selecting the parameter m is proposed. We will show that a large m value will make FCM more robust to noise and outliers. However, considerably large m values that are greater than the...
Glucocorticoid quantification using non-invasive methods provides a powerful tool for assessing the health and welfare of wildlife in zoo-based programmes. In this study, we provide baseline data on faecal-based glucocorticoid (cortisol) monitoring of Sumatran tigers (Panthera tigris ssp. sumatrae) managed at the Melbourne Zoo in Victoria, Australia. We sampled five tigers daily for 60 days. Fa...
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