Traffic condition recognition using the -means clustering method
نویسندگان
چکیده
منابع مشابه
Traffic Anomaly Detection Using K-Means Clustering
Data mining techniques make it possible to search large amounts of data for characteristic rules and patterns. If applied to network monitoring data recorded on a host or in a network, they can be used to detect intrusions, attacks and/or anomalies. This paper gives an introduction to Network Data Mining, i.e. the application of data mining methods to packet and flow data captured in a network,...
متن کاملRoad Sign Segmentation and Recognition under Bad Illumination Condition using Modified Fuzzy C-means Clustering
In this paper, we present a novel approach on road sign segmentation under bad lighting condition employing a modified fuzzy c-means clustering. Most of the cases accidents occur in bad weather or when the road signs cannot be recognized. The proposed system implements a system that segments the road sign using fuzzy c-means clustering. At first, the image is detected in RGB colour space and th...
متن کاملbuckling of viscoelastic composite plates using the finite strip method
در سال های اخیر، تقاضای استفاده از تئوری خطی ویسکوالاستیسیته بیشتر شده است. با افزایش استفاده از کامپوزیت های پیشرفته در صنایع هوایی و همچنین استفاده روزافزون از مواد پلیمری، اهمیت روش های دقیق طراحی و تحلیل چنین ساختارهایی بیشتر شده است. این مواد جدید از خودشان رفتارهای مکانیکی ارائه می دهند که با تئوری های الاستیسیته و ویسکوزیته، نمی توان آن ها را توصیف کرد. این مواد، خواص ویسکوالاستیک دارند....
A Peer to Peer Traffic Identification Method Using K-means Clustering, Svm & Genetic Algorithm
The utilization of shared (P2P) applications is developing significantly, which brings about a few major issues, for example, the system clog and traffic obstruction. Consequently P2P traffic identification is the most blazing theme of P2P traffic administration. Support vector machine (SVM) has points of interest with settling little examples for P2P characterization issues. However, the execu...
متن کاملPalm Print Recognition Using K-Means Clustering with Global Features
In these days there is a risk that others can access the same information anywhere and anytime. Currently passwords, personal identification cards are used for personal identification. Now a days Biometric based recognition is the most popular human recognition pattern. Biometrics measures individual’s unique or behavioural characteristics to authenticate personal identity. It provides more rel...
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: Scientia Iranica
سال: 2011
ISSN: 1026-3098
DOI: 10.1016/j.scient.2011.07.004