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Introduction, transforms data to another lower-dimensional subspace for better representation of data. This chapter defines dimensionality reduction and enumerates its main categories as an introduction to the next chapters of the book.Distribution 发表于 2025-3-22 01:50:11
o wants to understand the ways to extract, transform, and unDimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better representation of data or separation between classes. This book presents a cohesive revi果核 发表于 2025-3-22 05:50:52
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e who would like to acquire a deep understanding of the various ways to extract, transform, and understand the structure of data. The intended audiences are academics, students, and industry professionals. Acad978-3-031-10604-0978-3-031-10602-6高歌 发表于 2025-3-23 03:39:03
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