Cluster Analysis for Data Mining and System Identification
This book presents new approaches to data mining and system identification. Algorithms that can be used for the clustering of data have been overviewed. New techniques and tools are presented for the clustering, classification, regression and visualization of complex datasets. Special attention is g...
Main Authors: | Abonyi, János (Author), Feil, Balázs (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Basel :
Birkhäuser Basel,
2007.
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
D.D. Kosambi Selected Works in Mathematics and Statistics /
Published: (2016) -
Parametric Statistical Change Point Analysis With Applications to Genetics, Medicine, and Finance /
by: Chen, Jie, et al.
Published: (2012) -
Mathematical and Statistical Applications in Life Sciences and Engineering
Published: (2017) -
Statistics and Analysis of Scientific Data
by: Bonamente, Massimiliano
Published: (2017) -
Time Series Analysis and Forecasting Selected Contributions from the ITISE Conference /
Published: (2016)