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Intelligent Multidimensional Data Clustering and Analysis [Kõva köide]

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Computer and information scientists and practitioners in application fields explore various aspects of multidimensional data clustering and analysis for graduate students and researchers who deal with advanced statistics. Their topics include a physical design strategy for datasets with multiple dimensions, dealing with higher dimensionality and outliers in content-based image retrieval, an adaptive edge detection method towards feature extraction from diverse medical imaging technologies, implementing a digital image watermarking framework using saliency and phase congruence, and the hybridization of intelligent techniques in bioinformatics. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)
Preface xvi
Chapter 1 A Physical Design Strategy for Datasets with Multiple Dimensions
1(27)
Marlene Goncalves
Jose N. Mendoza
Chapter 2 Data Clustering
28(45)
Bulent Basaran
Fatih Gunes
Chapter 3 Association Rules-Based Analysis in Multidimensional Clusters
73(17)
Neelu Khare
Dharmendra S. Rajput
D. Preethi
Chapter 4 Data Clustering and Various Clustering Approaches
90(19)
Shashi Mehrotra
Shruti Kohli
Chapter 5 Dealing with Higher Dimensionality and Outliers in Content-Based Image Retrieval
109(26)
Seikh Mazharul Islam
Minakshi Banerjee
Siddhartha Bhattacharyya
Chapter 6 For Better Healthcare Mining Health Data
135(24)
Guney Gursel
Chapter 7 Adaptive Edge Detection Method towards Features Extraction from Diverse Medical Imaging Technologies
159(34)
Indra Kanta Maitra
Samir Kumar Bandhyopadhyaay
Chapter 8 Graph Theoretic Approaches for Image Analysis
193(32)
Biplab Banerjee
Sudipan Saha
Krishna Mohan Buddhiraju
Chapter 9 Utilizing Architecture Aspects for in Data Mining for Computer System Design
225(28)
Chantana Chantrapornchai
Aree Kaegjing
Sathaporn Srakaew
Warot Piyanuntcharatsr
Songchok Krakhaeng
Chapter 10 On the Implementation of a Digital Image Watermarking Framework Using Saliency and Phase Congruency
253(40)
Abhishek Basu
Susmita Talukdar
Chapter 11 A Hybrid System Based on FMM and MLP to Diagnose Heart Disease
293(33)
Swati Aggarwal
Venu Azad
Chapter 12 A Combinational Fuzzy Clustering Approach for Microarray Spot Segmentation
326(19)
Ong Pauline
Zarita Zainuddin
Chapter 13 Proficient Clustering algorithm for Wireless Sensor Networks
345(13)
Nivetha Gopal
Venkatalakshmi Krishnan
Chapter 14 A Study on Hybridization of Intelligent Techniques in Bioinformatics
358(22)
Peyakunta Bhargavi
S. Jyothi
D. M. Mamatha
Chapter 15 Adaptive Clustering Techniques and Their Applications
380(18)
Deepthi P. Hudedagaddi
B. K. Tripathy
Compilation of References 398(42)
About the Contributors 440(8)
Index 448
Siddhartha Bhattacharyya, RCC Institute of Information Technology, India.

Sourav De, The University of Burdwan, India.

Indrajit Pan, RCC Institute of Information Technology, India.

Paramartha Dutta, Visva-Bharati University, India.