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 analyses effects of price signals on the consumption behavior of household electricity customers. It proposes a systematic analysis process consisting of data preprocessing, aggregation steps and clustering methods. This analysis process was applied to two smart meter datasets (Olympic Peninsula Project, RESIDENS). Large fluctuations in customers' response to the same price signal were...
Information retrieval deals with organizing data in a structured form and providing a collection of documents as a response to a query of a user. Boolean model, the simplest model is designed to respect exact matching of the query in retrieving the documents. Vector Space model, a popular model permits approximate matches and also provides the documents in a ranked manner. In this tutorial, it is...
In 2010, we proposed the improved unsupervised possibilistic clustering algorithm (IUPC) that can be run as an unsupervised clustering and overcome the weakness of the unsupervised possibilistic clustering algorithm (UPC) that it tends to generate coincident clusters. IUPC inherits the merits of UPC. In the meanwhile, IUPC solves the coincident clusters problem of UPC by limiting the feasible regions...
In this paper, the fuzzy cluster analysis, fuzzy analytic hierarchy process and fuzzy house of quality are integrated, which are introduced in the quality assurance of service products design. Firstly, the customer quality requirements are made a hierarchical division by fuzzy clustering. Based on this, used the fuzzy analytic hierarchy process to determine weights of the customer quality requirements...
Searching for relevant documents in large sets of documents is one of the key tasks in the areas of semantic web and knowledge technologies. This paper deals with analysis and design of improvement for information retrieval (IR) using specific conceptual model automatically created from semantically non-annotated set of text documents. This conceptual model combines locally applied Formal Concept...
Today, the "green wave" is sweeping the globe and Corporate Social Responsibility (CSR) is gradually accepted by companies and CSR has gradually become an important core component of competitiveness. How to scientificly evaluate the situation of Chinese enterprises to fulfill their CSR? How to efficiently Standardized CSR disclosure? These problems are urgently needed to solve. This paper,...
Based on the cause of sediment transporting equilibrium degree theory and the 20 years date of water and sediment of the Yellow River downstream, the equation of water and sediment item relational sediment transport equilibrium degree of six sections of the Yellow River downstream were established. Used the fuzzy cluster analysis theory, the method of forecast and control of river pattern of the Yellow...
Network centrality indices are quantification of the fact that some nodes/edges are more central or more important in a network than others. Different centrality indices are suitable for different applications, but most of them have structural significance and require that the network be connected. Most centrality measures are only definitions and there hasn't been much work done in measuring the...
The generalization ability of neural network is an important aspect affecting its application. Meanwhile, the selection of training samples has a great impact on this ability. In order to improve the completeness of training samples, a method of samples self-learning of BP neural network based on clustering is put forward in this paper. By using the method of clustering, new samples can be collected...
A combined influence assessment model is established based on grey cluster method in this paper to analyze the combined influence of plantation logging on the environment-resource-cost system. The modeling results show that in the process of skidding and hauling, the higher the degree of mechanization, the less the compositive consumption. Moreover, the compositive consumption of small equipment is...
This paper proposes a composite method for short-term load forecasting, which is based on fuzzy clustering wavelet decomposition and BP neural network. Firstly, the similar-day's load is selected as the input load based on the fuzzy clustering method; secondly, the wavelet method is applied to decompose the similar-day load into the low frequency and high frequency components, from which the feature...
The paper mixes extension theory and gray clustering method, and constructs the evaluation system of the bus rapid transit system based on gray extension matter-element model, using the evaluation grade of bus rapid transit system, the indicator evaluation standard and the basic characteristics value as the matter elements, applying gray clustering method to calculate the weight and the correlation...
Clustering analysis has become a valuable and useful tool for biological data. In recent years, a number of clustering algorithms have been developed. However, they are confronted with difficulties in meeting the requirements of automation, quality and robustness at the same time. In this paper, we propose a clustering algorithm that can tackle some of these problems. The algorithm has been tested...
Determining number of clusters present in a data set is an important problem in clustering. There exist very few techniques that can solve this problem satisfactorily. Some of these techniques rely on user supplied information, while some others use cluster validity indices which are expensive with regard to computation time. This paper proposes an alternative solution for the concerned problem that...
In recent years, a content-based method such as `bag-of-features' (BoF) is coming to the fore as an object recognition and classification technique. This paper proposes a BoF signature using invariant region descriptor for object retrieval. The region descriptors are extracted from dense sampled regions in the training images. These descriptors are quantized by hierarchical k-means clustering in a...
This paper is about a few implementation aspects of a clustering algorithm for grouping parameters of the channel's multipath components. Issues as initialization and the computation of distance between multipath components are discussed. Special attention is given to the cluster validation problem dealing with the number of clusters' estimation. In this context, some validation measures and fusion...
Feature selection is an important process in data analysis for information-preserving data reduction. Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for clustering and feature selection simultaneously using a harmony search algorithm. Our approach makes feature selection an integral...
The traditional MPCA model takes the entire batch data as a single object, and it is difficult to reveal the changes of process correlation from stage to stage. Considering that multiple phases with transitions from phase to phase are important characteristics of many batch processes, it is desirable to develop stage-based models. However, some stage-based monitoring methods may occur false alarm...
Most previous clustering algorithms focus on numerical data whose inherent geometric properties can be exploited naturally to define distance functions between data points. However, much of the data existed in the databases is categorical, where attribute values cannot be naturally ordered as numerical values. Due to the differences in the characteristics of these two kinds of data, attempts to develop...
Combining extension engineering method with cluster analysis, the classic and limited matter elements were constructed according to air quality standards and main air affecting factors. The logical domain was extended from (0, 1)to (-∞ ,+∞), meanwhile, the quantitative analysis in the classic matter-set which only judged by Yes or No was extended to qualitative analysis, which could show the administrative...
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.