First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means
نویسندگان
چکیده
منابع مشابه
Managing uncertain arrival times through sociomaterial associations
Interest in how individuals cope with uncertainty when scheduling their activities and trips has increased in recent years.While providing many useful concepts and insights, previous work tends to treat individuals as atomised decision-making units. This paper argues that it is imperative to think of persons coping with uncertainty about the duration of activities and trips as agents in wider s...
متن کاملMRI Segmentation through Wavelets and Fuzzy C-Means
Segmentation of images, obtained by Magnetic Resonance Imaging (MRI), is a difficult task due to the inherent noise and inhomogeneity. This paper presents a technique to segment MRI images that is robust against noise. Discrete Wavelet Transform (DWT) is applied to MRI image to extract high level details and after some processing on this high pass image, we add it to the original image to get a...
متن کاملVector fuzzy C-means
Many variants of fuzzy c-means (FCM) clustering method are applied to crisp numbers but only a few of them are extended to non-crisp numbers, mainly due to the fact that the latter needs complicated equations and exhausting calculations. Vector form of fuzzy c-means (VFCM), proposed in this paper, simplifies the FCM clustering method applying to non-crisp (symbolic interval and fuzzy) numbers. ...
متن کاملFuzzy c-Means Herding
Herding is the process of bringing individuals (e.g. animals) together into a group. More specifically, we consider self– organized herding as the process of moving a set of individuals to a given number of locations (cluster centers) without any external control. We formally describe the relation between herding and clustering and show that any clustering model can be used to control herding p...
متن کاملBilateral Weighted Fuzzy C-Means Clustering
Nowadays, the Fuzzy C-Means method has become one of the most popular clustering methods based on minimization of a criterion function. However, the performance of this clustering algorithm may be significantly degraded in the presence of noise. This paper presents a robust clustering algorithm called Bilateral Weighted Fuzzy CMeans (BWFCM). We used a new objective function that uses some k...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematics
سال: 2019
ISSN: 2227-7390
DOI: 10.3390/math7030221