The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The article introduce an advanced fuzzy cluster analysis algorithm base on fuzzy equivalence relation and the general research steps in detail, giving an example of realization different occupation introductions and fuzzy classification base on working achievements.
A self-adaptive road detection method based on vision and cluster analysis is proposed for automatic guided vehicles. Based on the K-means algorithm, an automatic sample selection method is developed — while moving, the vehicle automatically selects new road samples and takes cluster analysis at a specified time interval to get the latest road features. Verified by experiments on campus roads, the...
The ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) is proposed for estimating the DOA (Direction-Of-Arrival) of narrowband signal, which uses the rotation invariance of the received data's signal subspace to estimate the DOA. But the ESPRIT algorithm can't be directly used for the wideband signal. The ESPRIT algorithm based on K-means introduces K-means algorithm to...
The coverage region of WLAN network is limited compare with cell phone system such as GSM and WCDMA. The favorable area to deploy WLAN is the area which has strong demand for wireless network. How to identify the needs and guide the deployment of WLAN, that isn't a easy issue. It will waste the investment if we deploy the WLAN in improper places. This paper proposes a solution which can collect customer...
How to quickly and efficiently determine the subject category from a large amount of text is becoming an important challenge in text clustering. In this paper, One-Next text clustering algorithm based on the simplified cluster hypothesis is proposed. Meanwhile, a feature vector optimization method using grading feature vector extraction method is designed. Finally, the experimental results show that...
Artificial Fish Swarm Algorithm(AFSA) is a kind of swarm intelligence optimization algorithm. Compared with other swarm intelligence methods, such as ant colony algorithm, AFSA introduces some parameters to effectively avoid prematurely falling into local extreme. So it is often used to solve combinatorial optimization problems. The multidimensional 0–1 knapsack problem as a representative of combinatorial...
To improve the efficiency of finding arbitrary shape clusters from large data sets and overcome the adverse effect on the clustering accuracy from noise data, an arbitrary shaped clustering algorithm based on density-accumulated is proposed. Using the idea of particle coagulation, the algorithm firstly generates a small scale subset only by one scanning large original data set, in which each of data...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.