Posts Tagged ‘k-means’:

Research on Distributed Detection Method of Anomaly Traffics Based on Entropy

With the rapid development of Internet technology and the expansion of network size, the openness, sharing and mutuality of the Internet, to a great extent, provide us with convenience. But at the same time, we must confront with all sorts of network security problems. Anomaly detection as the network security protection system has gradually become

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Research on Clustering Approach for Text Messages

on May 5th, 2013 by - Comments Off

With the rapid development of communication industry in recent years, text messaging has become a regular tool for mobile phone users to communicate, make comments or give suggestions. In order to improve the services, communication companies often receive customer feedback (opinions or advice) about their mobile service in the form of text message. The classification

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The Design and Implementation of University Student Dormitory Managemant System

The management of students’dormitory plays an important role in network information management system of universities and colleges, and also exerts significant impact on students’daily life and study. With the popularization of network informatization in the modern society, information management and information processing are playing more and more important roles in the management of college students.

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Image Segmentation Based on Grey Relational Analysis and RBF

Traditional image segmentation based on Grey Relational analysis can eliminate the noise preferably,but it makes many mistake. This paper give a complex optimization method based on Grey Relational Analysis and RBF neural network.According to the prematurity matter of the Genetic Algorithm(GA),this paper give a complex optimization method based on k-means and Quantum Genetic Algorithm (QGA).

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Image Segmentation Based on Grey Relational Analysis and RBF

Traditional image segmentation based on Grey Relational analysis can eliminate the noise preferably,but it makes many mistake. This paper give a complex optimization method based on Grey Relational Analysis and RBF neural network.According to the prematurity matter of the Genetic Algorithm(GA),this paper give a complex optimization method based on k-means and Quantum Genetic Algorithm (QGA).

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Image Segmentation Based on Grey Relational Analysis and RBF

Traditional image segmentation based on Grey Relational analysis can eliminate the noise preferably,but it makes many mistake. This paper give a complex optimization method based on Grey Relational Analysis and RBF neural network.According to the prematurity matter of the Genetic Algorithm(GA),this paper give a complex optimization method based on k-means and Quantum Genetic Algorithm (QGA).

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The Classifying Algorithm Research on Hyperspectral Oil Spill Image

The oil spoil events occurred frequently in the last years, which makes it more and more important for the nations to detect and control the events because they do influence the maintaining develop of the countries.Hyperspectral detection of marine oil spill have been focused recently, because the development of hyperspectral technologies is amazing and it

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GPU-based General Processing Model for Data Stream

Data stream is a new data form. Many applications will continuously produce large amounts of sequential data which evolves along with time to form time-series data streams, such as sensor networks, real-time stock quotes, networking and communications monitoring and other occasions. Data mining is a powerful tool to analyze of multiple data streams in parallel.

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Research on Spike Sorting and Noise to Frequency Synchronization of Neuron Model

on March 9th, 2013 by - Comments Off

The release and transfer of the neuron action potential (spike) is the basis of which the brainnervous system communicating and processing. Spike sorting is an important premise for theresearch about information encoding mechanism of the brain neural system. With the developmentof multi-electrode arrays technology (MEA), it provides necessary experimental foundation for theresearch on neural information

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Study of Key Techniques on Electrocardiogram Printouts Digitizing

In the procedure of clinic diagnosis, electrocardiography (ECG) was relied heavily byhospital to detect the electrical activity of human’s heart. Unfortunately, the recording paper isheat-sensitive paper, it is easily broken and the line of ECG waveform is fading with time.Cause of clinical diagnosis value and fast development of HIS (Health Information System),ECG paper recordings are

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