Non-Standard Parameter Adaptation for Exploratory Data Analysis

Non-Standard Parameter Adaptation for Exploratory Data Analysis

4.11 - 1251 ratings - Source

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 thereof. In this book, we first lay the groundwork by reviewing some standard clustering algorithms and projection algorithms before presenting various non-standard criteria for clustering. The family of algorithms developed are shown to perform better than the standard clustering algorithms on a variety of datasets. We then consider extensions of the basic mappings which maintain some topology of the original data space. Finally we show how reinforcement learning can be used as a clustering mechanism before turning to projection methods. We show that several varieties of reinforcement learning may also be used to define optimal projections for example for principal component analysis, exploratory projection pursuit and canonical correlation analysis. The new method of cross entropy adaptation is then introduced and used as a means of optimising projections. Finally an artificial immune system is used to create optimal projections and combinations of these three methods are shown to outperform the individual methods of optimisation.Exploratory data analysis is a set of methods with which we try to extract as much information as possible from a data set of ... Figure 3.1 shows the first principal component of a two-dimensional data cloud and the second principal component anbsp;...

Title:Non-Standard Parameter Adaptation for Exploratory Data Analysis
Author: Wesam Ashour Barbakh, Ying Wu, Colin Fyfe
Publisher:Springer Science & Business Media - 2009-09-28

You must register with us as either a Registered User before you can Download this Book. You'll be greeted by a simple sign-up page.

Once you have finished the sign-up process, you will be redirected to your download Book page.

How it works:
  • 1. Register a free 1 month Trial Account.
  • 2. Download as many books as you like (Personal use)
  • 3. Cancel the membership at any time if not satisfied.

Click button below to register and download Ebook
Privacy Policy | Contact | DMCA