C. Perez

NEURAL Networks Using Matlab. Cluster Analysis And CLASSIFICATION

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MATLAB has the tool Neural Network Toolbox that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control.

The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image classification and feature learning tasks. To speed up training of large data sets, you can distribute computations and data across multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox.

Clustering data is another excellent application for neural networks. This process involves grouping data by similarity. For example, you might perform:

•Market segmentation by grouping people according to their buying patterns
•Data mining by partitioning data into related subsets
•Bioinformatic analysis by grouping genes with related expression patterns
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487 printed pages
Original publication
2019
Publication year
2019
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