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Category I.5.3 Clustering

Algorithms Similarity measures

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Current category: Top :: ITHEA Classification Structure :: I. Computing Methodologies :: I.5 PATTERN RECOGNITION :: I.5.3 Clustering

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ITHEA Classification Structure

A. General Literature

A.1 INTRODUCTORY AND SURVEY

A.m MISCELLANEOUS

B.1 CONTROL STRUCTURES AND MICROPROGRAMMING

B.1.1 Control Design Styles

B.1.2 Control Structure Performance Analysis and Design Aids

B.1.3 Control Structure Reliability, Testing, and Fault-Tolerance

B.1.4 Microprogram Design Aids

B.1.5 Microcode Applications

B.1.m Miscellaneous

B.2 ARITHMETIC AND LOGIC STRUCTURES

B.2.1 Design Styles

B.2.2 Performance Analysis and Design Aids

B.2.3 Reliability, Testing, and Fault-Tolerance

B.2.4 High-Speed Arithmetic

B.2.m Miscellaneous

B.3 MEMORY STRUCTURES

B.3.1 Semiconductor Memories

B.3.2 Design Styles

B.3.3 Performance Analysis and Design Aids

B.3.4 Reliability, Testing, and Fault-Tolerance

B.3.m Miscellaneous

B.4 INPUT/OUTPUT AND DATA COMMUNICATIONS

B.4.1 Data Communications Devices

B.4.2 Input/Output Devices

B.4.3 Interconnections (Subsystems)

B.4.4 Performance Analysis and Design Aids

B.4.5 Reliability, Testing, and Fault-Tolerance

B.4.m Miscellaneous

B.5 REGISTER-TRANSFER-LEVEL IMPLEMENTATION

B.5.2 Design Aids

B.5.3 Reliability and Testing

B.5.m Miscellaneous

B.6 LOGIC DESIGN

B.6.1 Design Styles

B.6.2 Reliability and Testing

B.6.3 Design Aids

B.6.m Miscellaneous

B.7 INTEGRATED CIRCUITS

B.7.1 Types and Design Styles

B.7.2 Design Aids

B.7.3 Reliability and Testing

B.7.m Miscellaneous

B.8 PERFORMANCE AND RELIABILITY

B.8.1 Reliability, Testing, and Fault-Tolerance

B.8.2 Performance Analysis and Design Aids

B.8.m Miscellaneous

B.m MISCELLANEOUS

C. Computer Systems Organization

C.1 PROCESSOR ARCHITECTURES

C.1.1 Single Data Stream Architectures

C.1.2 Multiple Data Stream Architectures (Multiprocessors)

C.1.3 Other Architecture Styles

C.1.4 Parallel Architectures

C.1.m Miscellaneous

C.2 COMPUTER-COMMUNICATION NETWORKS

C.2.1 Network Architecture and Design

C.2.2 Network Protocols

C.2.3 Network Operations

C.2.4 Distributed Systems

C.2.5 Local and Wide-Area Networks

C.2.6 Internetworking

C.2.m Miscellaneous

C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS

C.4 PERFORMANCE OF SYSTEMS

C.5 COMPUTER SYSTEM IMPLEMENTATION

C.5.1 Large and Medium (``Mainframe'') Computers

C.5.2 Minicomputers

C.5.3 Microcomputers

C.5.4 VLSI Systems

C.5.m Miscellaneous

C.m MISCELLANEOUS

D.1 PROGRAMMING TECHNIQUES

D.1.1 Applicative (Functional) Programming

D.1.2 Automatic Programming

D.1.3 Concurrent Programming

D.1.4 Sequential Programming

D.1.5 Object-oriented Programming

D.1.6 Logic Programming

D.1.7 Visual Programming

D.1.m Miscellaneous

D.2 SOFTWARE ENGINEERING

D.3 PROGRAMMING LANGUAGES

D.3.1 Formal Definitions and Theory

D.3.2 Language Classifications

D.3.3 Language Constructs and Features

D.3.4 Processors

D.3.m Miscellaneous

D.4 OPERATING SYSTEMS

D.m MISCELLANEOUS

E.1 DATA STRUCTURES

E.2 DATA STORAGE REPRESENTATIONS

E.3 DATA ENCRYPTION

E.4 CODING AND INFORMATION THEORY

E.m MISCELLANEOUS

F. Theory of Computation

F.1 COMPUTATION BY ABSTRACT DEVICES

F.1.1 Models of Computation

F.1.2 Modes of Computation

F.1.3 Complexity Measures and Classes

F.1.m Miscellaneous

F.2 ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY

F.2.1 Numerical Algorithms and Problems

F.2.2 Nonnumerical Algorithms and Problems

F.2.3 Tradeoffs between Complexity Measures

F.2.m Miscellaneous

F.3 LOGICS AND MEANINGS OF PROGRAMS

F.3.1 Specifying and Verifying and Reasoning about Programs

F.3.2 Semantics of Programming Languages

F.3.3 Studies of Program Constructs

F.3.m Miscellaneous

F.4 MATHEMATICAL LOGIC AND FORMAL LANGUAGES

F.4.1 Mathematical Logic

F.4.2 Grammars and Other Rewriting Systems

F.4.3 Formal Languages

F.4.m Miscellaneous

F.m MISCELLANEOUS

G. Mathematics of Computing

H. Information Systems

H.1 MODELS AND PRINCIPLES

H.1.1 Systems and Information Theory

H.1.2 User/Machine Systems

H.1.m Miscellaneous

H.2 DATABASE MANAGEMENT

H.3 INFORMATION STORAGE AND RETRIEVAL

H.3.1 Content Analysis and Indexing

H.3.2 Information Storage

H.3.3 Information Search and Retrieval

H.3.4 Systems and Software

H.3.5 Online Information Services

H.3.6 Library Automation

H.3.7 Digital Libraries

H.3.m Miscellaneous

H.4 INFORMATION SYSTEMS APPLICATIONS

H.4.1 Office Automation

H.4.2 Types of Systems

H.4.3 Communications Applications

H.4.m Miscellaneous

H.5 INFORMATION INTERFACES AND PRESENTATION

H.5.1 Multimedia Information Systems

H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

H.5.3 Group and Organization Interfaces

H.5.4 Hypertext/Hypermedia

H.5.5 Sound and Music Computing

H.5.m Miscellaneous

H.m MISCELLANEOUS

I. Computing Methodologies

I.1 SYMBOLIC AND ALGEBRAIC MANIPULATION

I.1.1 Expressions and Their Representation

I.1.2 Algorithms

I.1.3 Languages and Systems

I.1.4 Applications

I.1.m Miscellaneous

I.2 ARTIFICIAL INTELLIGENCE

I.3 COMPUTER GRAPHICS

I.4 IMAGE PROCESSING AND COMPUTER VISION

I.5 PATTERN RECOGNITION

I.5.2 Design Methodology

I.5.3 Clustering

I.5.4 Applications

I.5.5 Implementation

I.5.m Miscellaneous

I.6 SIMULATION AND MODELING

I.7 DOCUMENT AND TEXT PROCESSING

I.7.1 Document and Text Editing

I.7.2 Document Preparation

I.7.3 Index Generation

I.7.4 Electronic Publishing

I.7.5 Document Capture

I.7.m Miscellaneous

I.m MISCELLANEOUS

J. Computer Applications

J.1 ADMINISTRATIVE DATA PROCESSING

J.2 PHYSICAL SCIENCES AND ENGINEERING

J.3 LIFE AND MEDICAL SCIENCES

J.4 SOCIAL AND BEHAVIORAL SCIENCES

J.5 ARTS AND HUMANITIES

J.6 COMPUTER-AIDED ENGINEERING

J.7 COMPUTERS IN OTHER SYSTEMS

J.m MISCELLANEOUS

K. Computing Milieux

K.1 THE COMPUTER INDUSTRY

K.2 HISTORY OF COMPUTING

K.3 COMPUTERS AND EDUCATION

K.3.1 Computer Uses in Education

K.3.2 Computer and Information Science Education

K.3.m Miscellaneous

K.4 COMPUTERS AND SOCIETY

K.4.1 Public Policy Issues

K.4.2 Social Issues

K.4.3 Organizational Impacts

K.4.4 Electronic Commerce

K.4.m Miscellaneous

K.5 LEGAL ASPECTS OF COMPUTING

K.5.1 Hardware/Software Protection

K.5.2 Governmental Issues

K.5.m Miscellaneous

K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS

K.6.1 Project and People Management

K.6.2 Installation Management

K.6.3 Software Management

K.6.4 System Management

K.6.5 Security and Protection

K.6.m Miscellaneous

K.7 THE COMPUTING PROFESSION

K.7.1 Occupations

K.7.2 Organizations

K.7.3 Testing, Certification, and Licensing

K.7.4 Professional Ethics

K.7.m Miscellaneous

K.8 PERSONAL COMPUTING

K.8.1 Application Packages

K.8.3 Management/Maintenance

K.8.m Miscellaneous

K.m MISCELLANEOUS

Objects (8)

Article	ADAPTIVE GUSTAFSON-KESSEL FUZZY CLUSTERING ALGORITHM BASED ON ...	Abstract: The Gustafson-Kessel fuzzy clustering algorithm is capable of detecting hyperellipsoidal clusters of different sizes and orientations by adjusting the covariance matrix of data, thus overco
Article	EVOLUTIONARY CLUSTERING OF COMPLEX SYSTEMS AND PROCESSES	Abstract: In a paper the method of complex systems and processes clustering based use of genetic algorithm is offered. The aspects of its realization and shaping of fitness-function are considered. T
Article	INTELLIGENT ANALYSIS OF MARKETING DATA	Abstract: The main goal of this paper is to present and evaluate the possibility of using the methods and tools of Artificial Intelligence and Data Mining to analyze marketing data needed to support d
Article	MULTI-VARIANT PYRAMIDAL CLUSTERING AND ANALYSIS HIGH-DIMENSIONAL DATA	Abstract: In this work an example of multi-variant clustering is presented. The problems to be solved are described and multi-variant clustering based on pyramidal multi-layer multi-dimensional stru
Article	ON A METHOD OF MULTI-ALGORITHMIC CLASSIFICATION	Abstract: In this paper the calculating estimates model, based on a system of logical regularities to solve the supervised classification problem is considered. A method of determining the weighting
Article	PARTITION METRIC FOR CLUSTERING FEATURES ANALYSIS	Abstract: A new distance function to compare arbitrary partitions is proposed. Clustering of image collections and image segmentation give objects to be matched. Offered metric intends for combinatio
Article	USING THE AGGLOMERATIVE METHOD OF HIERARCHICAL CLUSTERING ...	Abstract: The purpose of this paper is to explain the notion of clustering and a concrete clustering methodagglomerative hierarchical clustering algorithm. It shows how a data mining method like clus
Article	КЛАСТЕРИЗАЦИЯ НЕПОЛНЫХ ДАННЫХ	Abstract: В работе рассматриваются различные подходы к решению задач кластеризации данных при наличии в них проп

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