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This paper use the concept of matter-element and correlation function to establish a prediction model based on the extension of the cluster, and apply the model to forecast the wastewater emissions. Applied results show that this method is scientific and reliable.
There are a large quantity of non-certain and non-structure contents in the Web text at the present time. It is difficult to cluster the text by some normal classification methods. An algorithm of Web text clustering analysis based on fuzzy set is proposed in this paper, and the algorithm has been described in detail by example. The technique can improve the algorithm complexity of time and space,...
With the rapid development of the Internet and communication technology, huge data is accumulated. Short text such as conversation in chatting room and email is common in such data. It is useful to cluster such short documents to get the structure of the data or to help building other data mining applications. But most of the current clustering algorithms can not get acceptable clustering accuracy...
Wireless sensor networks (WSNs) consists of unattended sensors with limited storage, energy (battery power) and computation and communication capabilities. Since battery power is the most crucial resource for sensor nodes, the utility of energy efficient and the maximum lifetime is special important. In this paper, we present an energy-efficient dynamic clustering algorithm(EE-DCA)for wireless sensor...
An anomaly intrusion detection algorithm based on minimal diversity is proposed. It can deal with mixed attributes, so overcomes the deficiencies of most unsupervised learning methods. Based on the minimal diversity measurement, we use a small amount of marked data to guide clustering. When detecting new records, we calculate its diversity from the existing clusters to determine its category. This...
In this paper segmentation on both color and spatial space is implemented to compare their influence to the performance of content-based image retrieval (CBIR) system. Firstly, images are converted from RGB color space to HSV space. And then cumulative histograms on H component are extracted from four segmented blocks as one color feature of the image. At the same time, the HSV color space is further...
Human objects segmentation is one of key problems of visual analysis. In this paper, a novel touched human objects segmentation based on mean shift algorithm is proposed. At first, video images is preprocessed and foreground objects (BLOB) is obtained, model of human object is built according to statistical characteristics of body surface. Then, a few of points picked equally from BLOB is taken as...
The current practice of recognition spectra manually is no longer applicable to a large extent. This work is particularly focused on helping astronomers finding their interesting celestial objects. In this paper an efficient hierarchical clustering data mining method based on principal component analysis (PCA) is proposed. Massive stellar spectral data are clustered by improved hierarchical clustering...
Taking the example of designing classifier in intrusion detection system, this paper studies on samples selection problem for classifier and proposes a method fitting for large data set. First, use cluster analysis and the information known of classification to select boundary samples of each class. Then cluster for each class of the remaining non-border samples and adopt the method based on sample...
To discriminate the quality on traditional Chinese medicines Eucommia Bark real-time, according to the characters of Eucommia Bark finger printer, the basic concepts of rough set are introduced briefly. For rough sets can only deal with discrete data, the discretization of data is the key factor in the rough sets applied in quality assessment, we present a method of discretization based on cluster...
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