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ITHEA Classification Structure > I. Computing Methodologies  > I.2 ARTIFICIAL INTELLIGENCE  > I.2.6 Learning
ITHEA Classification Structure > I. Computing Methodologies  > I.2 ARTIFICIAL INTELLIGENCE  > I.2.8 Problem Solving, Control Methods, and Search 
ITHEA Classification Structure > I. Computing Methodologies  > I.5 PATTERN RECOGNITION  > I.5.1 Models 
ADAPTIVE CLUSTERING OF INCOMPLETE DATA USING NEURO-FUZZY KOHONEN NETWORK
By: Yevgeniy Bodyanskiy, Alina Shafronenko, Valentyna Volkova (5234 reads)
Rating: (1.00/10)

Abstract: The clustering problem for multivariate observations often encountered in many applications connected with Data Mining and Exploratory Data Analysis. Conventional approach to solving these problems requires that each observation may belong to only one cluster, although a more natural situation is when the vector of features with different levels of probabilities or possibilities can belong to several classes. This situation is subject of consideration of fuzzy cluster analysis, intensively developing today. In many practical tasks of Data Mining, including clustering, data sets may contain gaps, information in which, for whatever reasons, is missing. More effective in this situation are approaches based on the mathematical apparatus of Computational Intelligence and first of all artificial neural networks and different modifications of classical fuzzy c-means (FCM) method. But these methods are effective only in cases when the original data set is given beforehand and does not change during data processing. At the same time there is a wide class of problems when the data are fed to processing sequentially in on-line mode as it occurs in self-organizing Kohonen networks training. At the same time apriori it is not known which of the vectors-images contain gaps. In this paper the problem of probabilistic and possibilistic on-line clustering of data with gaps using Partial Distance Strategy is discussed and solved, self-organizing neuro-fuzzy Kohonen network and new self-learning algorithm that is the hybrid of "Winner-takes-more" rule and recurrent fuzzy clustering procedures are proposed and investigated.

Keywords: Fuzzy clustering, Kohonen self-organizing network, learning rule, incomplete data with gaps.

ACM Classification Keywords: 1.2.6 Artificial Intelligence: Learning – Connectionism and neural nets; 1.2.8 Artificial Intelligence: Problem Solving, Control Methods, and Search – Control theory; 1.5.1 Pattern Recognition: Clustering – Algorithms.

Link:

ADAPTIVE CLUSTERING OF INCOMPLETE DATA USING NEURO-FUZZY KOHONEN NETWORK

Yevgeniy Bodyanskiy, Alina Shafronenko, Valentyna Volkova

http://www.foibg.com/ibs_isc/ibs-26/ibs-26-p20.pdf

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I.2.6 Learning
article: A STUDY OF APPLICATION OF NEURAL NETWORK TECHNIQUE ON SOFTWARE REPOSITORIES · SEMANTIC NET FROM CONCEPTS AS A MODEL OF STUDENT’S KNOWLEDGE: HOW STABLE ARE ... · МЕТОД ПОИСКА РЕШЕНИЙ В ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМАХ ПОДДЕРЖКИ ПРИНЯТИЯ РЕШЕНИЙ ... · THE MODEL FOR THE COMBINED CASCADE RADIAL BASIS NEURAL NETWORK AND ITS ... · DIDACTIC DESIGNING OF RESOURCE SUPPORT FOR TRAINING ENVIRONMENT · КОМПЛЕКСНЫЙ АНАЛИЗ РИСКА БАНКРОТСТВА КОРПОРАЦИЙ В УСЛОВИЯХ НЕОПРЕДЕЛЕННОСТИ · IMPROVING ACTIVE RULES PERFORMANCE IN NEW P SYSTEM COMMUNICATION ARCHITECTURES · SOFTWARE EFFORT ESTIMATION USING RADIAL BASIS FUNCTION NEURAL NETWORKS · CONCEPTUAL KNOWLEDGE MODELING ON THE BASIS OF NATURAL CLASSIFICATION · A COMPUTER METHOD TO STUDY THE ENTIRETY OF STUDENTS’ KNOWLEDGE ACQUIRED DURING A · INTELLIGENT TRADING SYSTEMS · MODELING OF COGNITIVE PROCESSES BY NETWORK MODELS · ADAPTIVE FUZZY PROBABILISTIC CLUSTERING OF INCOMPLETE DATA · Polynomial Regression using a Perceptron with Axo-axonic Connections · RESERVOIR FORECASTING NEURO-FUZZY NETWORK AND ITS LEARNING · MODELING OF COGNITIVE PROCESSES BY NETWORK MODELS · POLYNOMIAL APPROXIMATION USING PARTICLE SWARM OPTIMIZATION OF LINEAR ... · ФОРМИРОВАНИЕ БАЗОВЫХ СТРУКТУР ВОСПРИЯТИЯ И · DECISIONS ON SELECTING THE TRAINING ALGORITHM OF THE NEURAL NETWORK WITH ... · ОБУЧЕНИЕ РЕКУРРЕНТНЫХ НЕЙРОННЫХ СЕТЕЙ МЕТО · ЧИСЛЕННЫЕ МЕРЫ “СПЛОЧЕННОСТИ” ИМЕННЫХ ГРУ · ADAPTIVE CLUSTERING OF INCOMPLETE DATA USING NEURO-FUZZY KOHONEN NETWORK · INTELLIGENT ANALYSIS OF MARKETING DATA · STUDY THE QUALITY OF GLOBAL NEURAL MODEL WITH REGARD TO LOCAL MODELS OF ... · HYBRID CASCADE NEURAL NETWORK BASED ON WAVELET-NEURON · ARTIFICIAL INTELLIGENCE IN MONITORING SYSTEM · TACIT KNOWLEDGE AS A RESOURCE FOR ORGANIZATIONS AND ITS INTENSITY IN VARIOUS ... · THE E-LEARNING SYSTEM WITH EMBEDDED NEURAL NETWORK · ИССЛЕДОВАНИЕ МНОГОКРИТЕРИАЛЬНОЙ ЗАДАЧИ ОП� · ЭКСПЕРИМЕНТАЛЬНОЕ ИЗУЧЕНИЕ ЦЕЛОСТНОСТИ ЗН� · SELECTIVE EVOLUTION CONTROL METHOD FOR EVOLUTION STRATEGIES WITH NEURAL ... · EVOLVING CASCADE NEURAL NETWORK BASED ON MULTIDIMESNIONAL EPANECHNIKOV’S ... · ADAPTIVE NEURO-FUZZY KOHONEN NETWORK WITH VARIABLE FUZZIFIER · CONCEPTUAL KNOWLEDGE MODELING AND SYSTEMATIZATION ON THE BASIS OF NATURAL ... · ON COORDINATION OF EXPERTS’ ESTIMATIONS OF QUANTITATIVE VARIABLE∗ · THE CASCADE NEO-FUZZY ARCHITECTURE AND ITS ONLINE LEARNING ALGORITHM · THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS AND ITS LEARNING ... · EDUKIT: INFO-EDUCATIONAL PLATFORM ENABLING TO CREATE WEBSITES FOR SECONDARY ... · SYSTEMOLOGICAL CLASSIFICATION ANALYSIS IN CONCEPTUAL KNOWLEDGE MODELING · ANALOGIES BETWEEN TEXTS: MATHEMATICAL MODELS AND APPLICATIONS IN ... · HYBRID SYSTEMS OF COMPUTATIONAL INTELLIGENCE EVOLVED FROM SELFLEARNING ... · THE CASCADE NEO-FUZZY ARCHITECTURE USING CUBIC–SPKINE ACTIVATION FUNCTIONS · ADAPTIVE COMPARTMENTAL WAVELON WITH ROBUST LEARNING ALGORITHM · THE CASCADE ORTHOGONAL NEURAL NETWORK · OUTLIERS RESISTANT LEARNING ALGORITHM FOR RADIAL-BASIS-FUZZY-WAVELET-NEURAL ... · MULTIDIMENSIONAL HETEROGENEOUS VARIABLE PREDICTION ... · THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS ... · ADAPTIVE GUSTAFSON-KESSEL FUZZY CLUSTERING ALGORITHM BASED ON ... · SEARCHING FOR NEAREST STRINGS WITH NEURAL-LIKE STRING EMBEDDING · MEASURE REFUTATIONS AND METRICS ON STATEMENTS OF EXPERTS ... · GROWING NEURAL NETWORKS USING NONCONVENTIONAL ACTIVATION FUNCTIONS · CONSTRUCTING OF A CONSENSUS OF SEVERAL EXPERTS STATEMENTS∗ · DECISION TREES FOR APPLICABILITY OF EVOLUTION RULES IN TRANSITION P SYSTEMS · APPROACHES TO SEQUENCE SIMILARITY REPRESENTATION · NEURAL NETWORK BASED APPROACH FOR DEVELOPING THE ENTERPRISE STRATEGY · ANALOGOUS REASONING AND CASE-BASED REASONING FOR INTELLIGENT ... · USING SENSITIVITY AS A METHOD FOR RANKING THE TEST CASES CLASSIFIED ... · DIAGARA: AN INCREMENTAL ALGORITHM FOR INFERRING IMPLICATIVE RULES FROM EXAMPLES · A NEW APPROACH FOR ELIMINATING THE SPURIOUS STATES ... · ADAPTIVE WAVELET-NEURO-FUZZY NETWORK IN THE FORECASTING ... ·
I.2.8 Problem Solving, Control Methods, and Search
article: DEVELOPMENT AND ANALYSIS OF GENETIC ALGORITHM FOR TIME SERIES FORECASTING ... · TWO-LEVEL GENETIC ALGORITHM FOR PROGRAMMABLE LOGIC DEVICES RECONFIGURATION · ADAPTIVE FUZZY PROBABILISTIC CLUSTERING OF INCOMPLETE DATA · Criteria investigations in ant colony optimization algorithm for travelling ... · CRITERIA INVESTIGATIONS IN ANT COLONY OPTIMIZATION ALGORITHM FOR TRAVELLING SALE · АЛГОРИТМ ПОСТРОЕНИЯ ВЫПУКЛОГО ПРОДОЛЖЕНИЯ · ADAPTIVE CLUSTERING OF INCOMPLETE DATA USING NEURO-FUZZY KOHONEN NETWORK · THE EFFECT OF INTRODUCTION OF THE NON-LINEAR CALIBRATION FUNCTION AT THE ... · DECOMPOSITION METHODS FOR LARGE-SCALE TSP · INFORMATIONAL-PARAMETRIC MODEL OF SIGN LANGUAGE FINGERSPELLING UNITS · CONSTRUCTION OF A REALISTIC MOVEMENT ON THE 3D HUMAN MODEL FOR STUDYING AND ... · ПРОГНОЗИРОВАНИЕ ДИНАМИКИ ПОПОЛНЕНИЯ ФОНДО� · SELF-ORGANIZING ROUTING ALGORITHM FOR WIRELESS SENSORS NETWORKS (WSN) USING ... · COMPUTER TECHNOLOGY FOR SIGN LANGUAGE MODELLING · NEURAL NETWORK BASED OPTIMAL CONTROL WITH CONSTRAINTS · LOGICAL MODELS OF COMPOSITE DYNAMIC OBJECTS CONTROL · LIMIT BEHAVIOUR OF DYNAMIC RULE-BASED SYSTEMS ·
I.5.1 Models
article: POLLEN GRAINS RECOGNITION USING STRUCTURAL APPROACH AND NEURAL NETWORKS · Bankruptcy risk forecasting under uncertainty with application of fuzzy · CONVOLUTION NETWORKS AS A METHOD OF REALISATION OF CUSTOMS RISK-MANAGEMENT · АППРОКСИМАЦИЯ ФУНКЦИИ ЯРКОСТИ ОБЪЕКТА ПОЛУТОНОВОГО ИЗОБРАЖЕНИЯ · SELF-MODIFICATED PREDICATE NETWORKS · ON A METHOD OF MULTI-ALGORITHMIC CLASSIFICATION · PROCESSING SETS OF CLASSES’ LOGICAL REGULARITIES · ADAPTIVE FUZZY PROBABILISTIC CLUSTERING OF INCOMPLETE DATA · THE INVERSE MASLOV METHOD AND ANT TACTICS FOR EXHAUSTIVE SEARCH DECREASING · JOINT STUDY OF VISUAL PERCEPTION MECHANISM AND COMPUTER VISION SYSTEMS THAT ... · Online Handwritten Mathematical Expressions Recognition System Using Fussy ... · Automated Building Extraction System Applied On High Resolution Satellite ... · SPREADING THE MOORE - PENROSE PSEUDO INVERSE ON MATRICES EUCLIDEAN SPACES: ... · CONSTRUCTION OF CLASS LEVEL DESCRIPTION FOR EFFICIENT RECOGNITION OF ... · INFORMATION TECHNOLOGY OF PROCESSING INFORMATION OF THE CUSTOMS CONTROL · MODEL FOR ASTRONOMICAL DATING OF THE CHRONICLE OF HYDATIUS: ... · MATRIX “FEATURE VECTORS” IN GROUPING INFORMATION PROBLEM: LINEAR ... · EFFICIENT SIMULATION FOR PROLOG IMPLEMENTATION OF IMAGE RECOGNITION PROBLEM · VECTORS AND MATRIXES IN GROUPING INFORMATION PROBLEM · CROP STATE AND AREA ESTIMATION IN UKRAINE BASED ON REMOTE AND INSITU ... · THE INVERSE METHOD FOR SOLVING ARTIFICIAL INTELLIGENCE PROBLEMS IN ... · RECURRENT PROCEDURE IN SOLVING THE GROUPING INFORMATION PROBLEM IN APPLIED... · ‘FEATURE VECTORS’ IN GROUPING INFORMATION PROBLEM IN APPLIED MATHEMATICS: .. · ADAPTIVE CLUSTERING OF INCOMPLETE DATA USING NEURO-FUZZY KOHONEN NETWORK · INTELLIGENT ANALYSIS OF MARKETING DATA · FUZZY SETS AS A MEAN FOR UNCERTAINTY HANDLING: MATH, APPLIED MATH, HEURISTICS · PERFORMANCE OF COMPUTER-AIDED DIAGNOSIS TECHNIQUES IN INTERPRETATION OF ... · FUZZY SETS: MATH, APPLIED MATH, HEURISTICS? PROBLEMS AND INTERPRETATIONS · ОНЛАЙН РАСПОЗНАВАНИЕ РУКОПИСНЫХ МАТЕМАТИЧ� · РАСПОЗНАВАНИЕ ЗДАНИЙ НА СПУТНИКОВЫХ СНИМКА · СЛОЖНЫЕ ЗАДАЧИ РАСПОЗНАВАНИЯ ОБРАЗОВ И ВОЗМОЖНОСТИ ИХ РЕШЕНИЯ · THE USAGE OF NEURAL NETWORKS FOR THE MEDICAL DIAGNOSIS · SYNTHESIS OF CORRECTOR FAMILY WITH HIGH RECOGNITION ABILITY* · FLOOD RISK ASSESSMENT BASED ON GEOSPATIAL DATA · FUZZY ARTMAP NEURAL NETWORKS FOR COMPUTER AIDED DIAGNOSIS · STRUCTURAL MODEL OF HALFTONE IMAGE AND IMAGE SEGMENTATION EXPERIMENTS · HIGH-PERFORMANCE INTELLIGENT COMPUTATIONS ... · INTELLIGENCE ALGORITHMS FOR INCREASING NAVIGATION SYSTEMS ACCURACY · ADAPTIVE GUSTAFSON-KESSEL FUZZY CLUSTERING ALGORITHM BASED ON ... · UNCERTAINTY AND FUZZY SETS: CLASSIFYING THE SITUATION · LOGIC BASED PATTERN RECOGNITION - ONTOLOGY CONTENT (1) 1 · EVALUATING MISCLASSIFICATION PROBABILITY USING EMPIRICAL RISK1 · FUZZY SETS: ABSTRACTION AXIOM, STATISTICAL INTERPRETATION, OBSERVATIONS ... · AN APPROACH TO COLLABORATIVE FILTERING BY ARTMAP NEURAL NETWORKS ·
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