Data Mining is a tool that extracts useful and novel patterns from
great amounts of data. It usually involves 4 tasks: Classification,
Clustering, Association Rule Learning, and Regression. Two major
branches of research are addressed in this book. In the first
chapter several Classification methods are applied on a real-world
data set, the Mars crater data set. The goal of this case study is
to improve the accuracy of the crater detection on the remote
sensing images of Mars. In the second chapter Sammon's Mapping
method is studied and improved. Sammon's Mapping is a projection
method which simulates the high-dimension space to a low- dimension
one. The motivation of this project is to visualize the internal
struture of a data set and facilitate the clustering operation on
the data set. After the low-dimension Sammon's Mapped space has
been created the number of clusters can be observed. An external
measurement of the Clustering result is also implemented in the
project. This measurement objectively shows the accuracy of
Clustering. With all the steps to implement the Sammon's Mapping, a
pipeline is established.
General
Imprint: |
Lap Lambert Academic Publishing
|
Country of origin: |
Germany |
Release date: |
November 2010 |
First published: |
November 2010 |
Authors: |
Jue Wang
|
Dimensions: |
229 x 152 x 6mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
104 |
ISBN-13: |
978-3-8433-6473-7 |
Categories: |
Books >
Computing & IT >
General theory of computing >
General
|
LSN: |
3-8433-6473-7 |
Barcode: |
9783843364737 |
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