[PDF] Top 20 Fuzzy clustering-based feature extraction method for mental task classification
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Fuzzy clustering-based feature extraction method for mental task classification
... of feature selection methods are the filter method and the wrapper ...filter method, the relevance of features is determined on the basis of inherent properties such as distance, consistency, and ... See full document
11
Automated spike sorting algorithm based on Laplacian eigenmaps and k means clustering
... sorting method based on feature extraction by Laplacian eigenmaps combined with k-means ...proposed method was compared against previously reported algorithms such as principal ... See full document
14
Adaptive Neuro Fuzzy Inference System based Optical Character Recognition
... generic classification techniques that can be used together with feature extraction mechanisms but it is important to know which of them do better under which ...for classification of machine ... See full document
11
Document Classification and Clustering using Feature Extraction for Similarity Measure
... information based on their domain is document ...classes. Clustering is task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar to each ... See full document
7
THE ROLE OF INFORMATION TECHNOLOGY ON THE GROWTH OF FIRMS: A VALUE ADDED ONSIDERATION
... challenging task because of the ambiguity in our natural language. Classification of web pages based on their contents is useful to the search engines to give appropriate and desired data to the ... See full document
7
An intrusion detection method for internet of things based on suppressed fuzzy clustering
... detection method for trust value of node a based on the Beta distribution theory and outlier factor was proposed ...This method identifies abnormal nodes based on the Mahalanobis distance and ... See full document
7
Effective Intrusion Detection with a Neural Network Ensemble Using Fuzzy Clustering and Stacking Combination Method
... detection method was proposed by Kim et ...detection method could improve the IDS in terms of detection perfor- mance for unknown attacks and detection ...and Classification and Regression Trees ... See full document
13
An Efficient Approach for Segmentation, Feature Extraction and Classification of Audio Signals
... automatic classification of the audio clips into six ...A method for indexing the classified audio was proposed by utilizing the k-means clustering algorithm and LPCC features ...accurate ... See full document
25
Web Document Clustering System Using Fuzzy Logic and Feature Extraction
... repositories. Feature extraction is widely used to increase the efficiency of document clustering ...fast method for text feature extraction that folds together string hash ... See full document
5
CLASSIFICATION OF TEXT USING FUZZY BASED INCREMENTAL FEATURE CLUSTERING ALGORITHM
... doing feature reduction, feature selection, and feature ...By feature selection approaches, a new feature set W0 is obtained, which is a subset of the original feature set ...the ... See full document
6
Hybrid Subspace Detection based on Spectral and Spatial Information for Effective Hyperspectral Image Classification
... the classification accuracy increases with increase of the no of features and starts to decrese after a certain value of the no of ...overall classification accuracy [2, ...improve classification ... See full document
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ANALYSIS OF EFFECTIVENESS OF USING SIMPLE QUEUE WITH PER CONNECTION QUEUE (PCQ) IN THE BANDWIDTH MANAGEMENT (A CASE STUDY AT THE ACADEMY OF INFORMATION MANAGEMENT AND COMPUTER MATARAM (AMIKOM) MATARAM)
... the method for extraction of association rule from quantitative data using fuzzy clustering ...database based on Fuzzy Association Rule ...hybrid method of genetic ... See full document
8
An approach for Recognition of Numeric Character using Principal Component Analysis
... hybrid feature extraction method for recognition of handwritten character which includes SVM based ...recognition. Fuzzy-entropy based metric has been used for recognition and ... See full document
7
AN EFFECTIVE MACHINE LEARNING ALGORITHM FOR TEXTURE BASED MEDICAL IMAGE RETRIEVAL SYSTEM
... are feature extraction, feature selection, classification, and similarity measurements, respectively, for effective retrieval of ...for feature selection, Fuzzy based ... See full document
18
A New Unsupervised Clustering based Feature Extraction Method
... new method which investigates the use of a new similarity-based clustering technique, to perform unsupervised feature extraction for pattern classification problems and face ... See full document
7
Fuzzy Logic over Ontological Annotation and Classification for Spatial Feature Extraction
... and Classification has paved the way for invoking an efficient and effective research area as it is of immense importance in searching images from different categories of relevant images using ...and ... See full document
5
Compressed ECG biometric using cardioid graph based feature extraction
... Later, classification is performed on the features to achieve the classification ...data, classification is also performed on the non-compressed data, for better ... See full document
6
Fault Detection and Diagnosis of Induction Machines based on Wavelet and Probabilistic Neural Network
... On-line monitoring and early detection of abnormalities in the motors will help avoid unexpected failures and reduce downtime frequency. Motivated by this industrial demand, several diagnosis approaches for the ... See full document
7
An online log template extraction method based on hierarchical clustering
... template extraction is a process of continuously clustering the raw log ...The method LogOHC in this paper is to use the idea of online hierarchical clustering for log parsing and get the log ... See full document
12
SPECTRUM INVESTIGATION FOR SHARING ANALYSIS BETWEEN BWA SYSTEM AND FSS RECEIVER
... Currently, image plays an important role in many applications, since it has the advantage of visual representation. In recent years, image retrieval is wildly used instead of text retrieval, since storage and ... See full document
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