$109.99
In this book, we first lay the groundwork by reviewing some standard clustering algorithms and projection algorithms before presenting various non-standard�...
$99.86
A review of standard algorithms provides the basis for more complex data mining techniques in this overview of exploratory data analysis.
We create adaptive update rules for these parameters of the Gaussian distribution so as to maximize the expected value of the long-term reward. We first derive�...
Condition. Like New ; Quantity. 2 available ; Item Number. 364953754654 ; Book Title. Non-standard Parameter Adaptation for Exploratory Data Analysis ; Author.
Non-Standard Parameter Adaptation for Exploratory Data Analysis
Book by Colin Fyfe, Wesam Ashour Barbakh, and Ying Wu
Exploratory data analysis, also known as data mining or knowledge discovery from databases, is typically based on the optimisation of a specific function of a dataset. Such optimisation is often performed with gradient descent or variations... Google Books
Originally published: September 24, 2009
Authors: Wesam Ashour Barbakh, Colin Fyfe, and Ying Wu
Online version available for university members only. This requires an institutional login off-campus. Details. Title. Non-standard parameter adaptation for�...
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In this book, we first lay the groundwork by reviewing some standard clustering algorithms and projection algorithms before presenting various non-standard�...
This book presents the fruits of several years of research into non-standard methods of adaptation for exploratory data analysis. This research resulted.
We show that several varieties of reinforcement learning may also be used to define optimal projections for example for principal component analysis,�...
$99.86
In this book, we first lay the groundwork by reviewing some standard clustering algorithms and projection algorithms before presenting various non-standard�...
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Review of Clustering Algorithms.- Review of Linear Projection Methods.- Non-standard Clustering Criteria.- Topographic Mappings and Kernel Clustering.