Feature Extraction and Classification of Automatically Segmented Lung Lesion Using Improved Toboggan Algorithm

An Improved Flower Pollination Algorithm with AdaBoost Algorithm for Feature Selection in Text Documents Classification

In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...

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An Improved Flower Pollination Algorithm with AdaBoost Algorithm for Feature Selection in Text Documents Classification

In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...

متن کامل

An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification

The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...

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An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification

The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...

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Feature selection using genetic algorithm for classification of schizophrenia using fMRI data

In this paper we propose a new method for classification of subjects into schizophrenia and control groups using functional magnetic resonance imaging (fMRI) data. In the preprocessing step, the number of fMRI time points is reduced using principal component analysis (PCA). Then, independent component analysis (ICA) is used for further data analysis. It estimates independent components (ICs) of...

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Feature Extraction and Classification of Automatically Segmented Lung Lesion Using Improved Toboggan Algorithm

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چکیده

منابع مشابه

An Improved Flower Pollination Algorithm with AdaBoost Algorithm for Feature Selection in Text Documents Classification

An Improved Flower Pollination Algorithm with AdaBoost Algorithm for Feature Selection in Text Documents Classification

An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification

An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification

Feature selection using genetic algorithm for classification of schizophrenia using fMRI data

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