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.
Affinity Propagation (AP) algorithm is a useful clustering technique with a lot of noteworthy advantages. It has been successfully applied in many applications. However, this algorithm does not scale for large scale data sets because it requires quadratic computational time and memory usage in the problem size. In this paper, we concentrate on the needs of big data analytics and propose an effective...
As an important aspect of image segmentation, texture segmentation has long been one of the hot spots in segmentation field. In this paper, the human visual cognitive model is used as a new texture feature extraction method for image texture segmentation. In order to promote the effect of clustering segmentation method, spatial location information is considered to smooth the segment result. Experiments...
Software fault prediction techniques are helpful in developing dependable software. In this paper, we proposed a novel framework that integrates testing and prediction process for unit testing prediction. Because high fault prone metrical data are much scattered and multi-centers can represent the whole dataset better, we used artificial immune network (aiNet) algorithm to extract and simplify data...
Self-Organizing Maps (SOM) have presented excellent effect in color image segmentation; the scale of SOM will directly affect the accuracy of segmentation results. In this paper, we proposed a novel scale estimated of self-organizing map (SE-SOM) for color image segmentation based on SOM clustering. Different from conventional SOM model, it determines the number of nodes of competition layer by 3-D...
Shadow detection in high spatial resolution remote sensing image is very critical for locating geographical targets. In this paper, we proposed a new shadow detection method using Affinity Propagation (AP) algorithm in the Hue-Saturation-Intensity (HSI) color space. Because the pixel matrix is a large-scale matrix, if we apply AP algorithm directly on the raw pixel space, it will be computation intensive...
The explosive growth of the gene expression data needs an automatic and effective data analysis tool urgently. Presently, clustering has become the powerful and widely used method in gene expression data analysis to obtain biological information. However, there are problems in analyzing gene expression data of over-dependence on the distribution of dataset and impossibly achieving a global optimal...
Data mining is applied to intrusion detection system, which putting forward a system model based on data mining, improving the FP-Growth algorithm based on associative analysis, and refining the technology of FCM network intrusion detection based on statistical binning. The experimental result shows that the network intrusion detection developed by this paper can work very stably under the Ethernet,...
After analyzing the features of species mass in engine combustion process, considering the accuracy and calculating time together, based on a network for one specie, this paper proposes an algorithm for selecting RBF-ANN centers with sectional method to apply in engine combustion species mass: in the image of species mass fraction-temperature, mass fraction area is divided into N parts dynamically,...
Analyzing notor imagery electrocardiogram (ECoG) signal is very challenging for it is hard to set up a classifier based on the labeled ECoG obtained in the first session and apply it to the unlabeled test data obtained in the second session. Here we propose a new approach to analyze ECoG trails in the case of session-to-session transfer exists. In our approach, firstly, dimension reduction is performed...
Software metrics are collected at various phases of the software development process. These metrics contain the information of the software and can be used to predict software quality in the early stage of software life cycle. Intelligent computing techniques such as data mining can be applied in the study of software quality by analyzing software metrics. Clustering analysis, which can be considered...
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.