منابع مشابه
Classification and clustering using SVM
1 Introduction While more and more textual information is available online, effective retrieval is difficult without good indexing and summarization of documents content. Document categorization is one solution to this problem and is the task of classifying natural language documents into a set of predefined categories. A growing number of classification methods and machine learning techniques ...
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The Web contains massive amount of documents from across the globe to the point where it has become impossible to classify them manually. This project’s goal is to find a new method for clustering documents that are as close to humans’ classification as possible and at the same time to reduce the size of the documents. This project uses a combination of Latent Semantic Indexing (LSI) with Singu...
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The concept of Support Vector Machines (SVMs) for classification and regression has been introduced by Vapnik in 1995. The classification algorithm proposed by Vapnik was intended as binary classification for linearly separable input data and the solution was to find an Optimal Separating Hyperplane (OSH). Very often the input data is not linearly separable. SVMs employ a technique commonly kno...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2007
ISSN: 1471-2105
DOI: 10.1186/1471-2105-8-s7-s18