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Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

by Shrusti Ghela, B.K. Tripathy and Anveshrithaa Sundareswaran
Hardback
Publication Date: 08/09/2021
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Demonstrates how unsupervised learning approaches can be used for dimensionality reduction
Neatly explains algorithms with focus on the fundamentals and underlying mathematical concepts
Describes the comparative study of the algorithms and discusses when and where each algorithm is best suitable for use
Provides use cases, illustrative examples and visualizations of each algorithm
Helps visualize and create compact representations of high dimensional and intricate data for various real-world applications and data analysis
ISBN:
9781032041018
9781032041018
Category:
Databases
Format:
Hardback
Publication Date:
08-09-2021
Publisher:
Taylor & Francis Ltd
Country of origin:
United Kingdom
Pages:
160
Dimensions (mm):
234x156mm
Weight:
0.48kg

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You can find this item in:

Environmental science Electricity Databases Probability & statistics Automatic control engineering Economic statistics Computer science Mathematical theory of computation Data mining
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