Price: $80.84
(as of Dec 27,2024 05:47:56 UTC – Details)
ASIN : B008KO4GQ2
Publisher : Academic Press; 1st edition (March 3, 2010)
Publication date : March 3, 2010
Language : English
File size : 7257 KB
Text-to-Speech : Not enabled
Enhanced typesetting : Not Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 240 pages
Format : Print Replica
Pattern recognition is a fundamental concept in computer science and artificial intelligence that involves the identification and classification of patterns in data. In this post, we will provide an introduction to pattern recognition using Matlab, a popular programming language and software environment for data analysis and visualization.
Matlab provides a rich set of tools and functions for pattern recognition, including algorithms for feature extraction, classification, and clustering. These tools are often used in a wide range of applications, such as image and speech recognition, medical diagnosis, and financial forecasting.
In this post, we will cover the basics of pattern recognition in Matlab, including how to preprocess and analyze data, extract features, and build and evaluate classification models. We will also provide examples and code snippets to help you get started with pattern recognition in Matlab.
Whether you are a student, researcher, or practitioner in the field of computer science or artificial intelligence, understanding pattern recognition is essential for developing intelligent systems and applications. Stay tuned for our upcoming posts on advanced topics in pattern recognition using Matlab!
#Introduction #Pattern #Recognition #Matlab #Approach
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