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Classification Algorithms

https://doi.org/10.1007/springerreference_178824

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A Parallel Processing Technique for Extracting and Storing User Specified Data

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Proactive network maintenance using machine learning

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Texture segmentation using directional operators

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A New Supervised Dimensionality Reduction Method for Image Data Using Evolutionary Strategy

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Leukemia Diagnosis using Computational Intelligence

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A New Clustering Algorithm Compared With the Simple K-Means

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A comparison of the use of different wavelet coefficients for the classification of the electrocardiogram

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An efficient image pattern recognition system using an evolutionary search strategy

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Feature parameters selection based on rough set theory for target recognition

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Using wavelet coefficients for the classification of the electrocardiogram

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Applying modular classifiers to mammographic mass classification

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Neighborhood methods for image classification

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Fuzzy Decision Tree Based Inference Technology for Spam Behavior Recognition

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Discriminative multi-layer feed-forward networks

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Learning from past experiences to enhance decision support in IT change management

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Multidimensional histogram classifier design by using vector quantization

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A hybrid evolutionary functional link artificial neural network for data mining and classification

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East of Neuchatel: a universal model for the representation of statistical taxonomy systems

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A framework for statistical data mining with summary tables

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Statistical approach to clustering in pattern recognition

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A New Covariance Estimate for Bayesian Classifiers in Biometric Recognition

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Learning Classifier System Ensembles With Rule-Sharing

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Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction

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Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification

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Evaluation of Segmentation Algorithms on Cell Populations Using CDF Curves

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Classification Analysis of World Economic Regions

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Bias‐Corrected Diagonal Discriminant Rules for High‐Dimensional Classification

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Neural networks versus nonparametric neighbor-based classifiers for semisupervised classification of Landsat Thematic Mapper imagery

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