As one of the most important tool for data mining and pattern recognition, clusteringanalysis has been widespread widely and has been a hot topic. C-means clustering algorithmis the most widespread and popular in all clustering algorithms. It has not only a deepmathematical foundation, but also has been used successfully in many areas. However its vitalshortcoming
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As one of the most important tool for data mining and pattern recognition, clusteringanalysis has been widespread widely and has been a hot topic. C-means clustering algorithmis the most widespread and popular in all clustering algorithms. It has not only a deepmathematical foundation, but also has been used successfully in many areas. However its vitalshortcoming
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ABSTRACT:With the fast development and popularization of information technology, there is huge amount of Internet information every day. How to detect the topics among this huge amount information precisely and quickly, and how to track the topics that detected is one of the focuses of research.This paper starts with translating text information into the vector
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Since the 20th century, the network has deepens to our homes and spurs the new business technology—-the development of e-commerce. The system for users to guide users to undertake choosing, convenient purchase needed goods. But because of commodity types of increasing, users often difficult to from a huge amount of accurate find itself catalogue needed
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With the rapid development of Internet, an increasing number of people go shopping online for convenience, the era of e-commerce began. For now, there are massive goods for people to buy on online shopping site. There is a great number of goods and the amount of information about goods is huge, so it is inconvenient
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With the rapid development of Internet, the number of sites and webpage on the Internet grows explosively. Facing the massive information, it is very difficult for users to discover real-time information by scanning web. The real-time monitoring of web information requires users to discover valuable information from enormous information pages, but users can only monitor
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With the rapid development of Internet and communication technology, the information resources on Internet increase sharply. Search engine emerges and develops fast as a major tool of Internet information retrieval. But every search engine has a specific database index, the unique features and expected user base. People often use several search engines for search results’comparison
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With the rapid development of Internet and network technologies, intrusion detection system (IDS) has become a necessary guard line in information security architecture. Unlike firewall or other security components and products, IDS is expected to be more intelligent. Generally, IDS in current use can rarely meet actual requirements in performance, accuracy and distributed characteristics. On
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Supervised learning and unsupervised learning are two frequently-used learning methods in the field of machine learning. In supervised learning, a large number of labeled data are taken as prior knowledge to construct a model which is used to predict the unlabeled data. Unsupervised learning is always absence of any prior knowledge to analyze the data
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Supervised learning and unsupervised learning are two frequently-used learning methods in the field of machine learning. In supervised learning, a large number of labeled data are taken as prior knowledge to construct a model which is used to predict the unlabeled data. Unsupervised learning is always absence of any prior knowledge to analyze the data
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