[PDF] Top 20 Peptide identification based on fuzzy classification and clustering
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Peptide identification based on fuzzy classification and clustering
... Support vector machines (SVMs) have also been studied for the peptide assignment problem in [10,11]. Percolator [12] employed the SVM to iteratively adjust models fitting target PSMs with higher scores than decoy ... See full document
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Proposing a Novel Cost Sensitive Imbalanced Classification Method based on Hybrid of New Fuzzy Cost Assigning Approaches, Fuzzy Clustering and Evolutionary Algorithms
... of fuzzy classification rules with high values of CS-PCF obtained in the previous ...performed based on reference ...of fuzzy labels. In other words, the fuzzy partition is adopted to ... See full document
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A NEW CLUSTERING-BASED APPROACH FOR MODELING FUZZY RULE-BASED CLASSIFICATION SYSTEMS
... new clustering-based method for modeling accurate fuzzy rule based classification ...better classification rates and helped increase the speed of the classification ... See full document
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EMG Classification Based On Features Reduction Using Fuzzy C-Means Clustering Technique
... biomedical, fuzzy logic system can be used for EMG signal classification ...closely, fuzzy logic is more preferable than ANN [11]. In this thesis, the fuzzy C- Means Clustering (FCM) is ... See full document
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Identification of Highly Jittered Radar Emitters Signals based on Fuzzy Classification
... emitter identification (EID) problems are most appropriate for ELINT equipment ...data clustering [4], fuzzy classification [5] and neural networks [6-8] have drawn much attention and been ... See full document
7
Analysis and Classification of Logistics Function of Bohai Sea Port Based on Fuzzy Clustering
... Therefore, the selection of indicators should have the following characteristics: First, the indicators have a certain coverage, to reflect the port logistics functions of the three aspects. Second, to reflect the ... See full document
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An intrusion detection method for internet of things based on suppressed fuzzy clustering
... a based on the Beta distribution theory and outlier factor was proposed ...nodes based on the Mahalanobis distance and exhibits low false alarm ...rates. Based on classification methods in ... See full document
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Clustering With Classification Based Identification On Diabetics Disease To Avoid Blindness In Early Stage
... cluster based classification model using Improved K-means clustering with Deep belief Network (DBN) for treating the diabetic disease in the initial ...different classification, decision ... See full document
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Enhanced Weight Based Convolutional Neural Network (EWCNN) and Fuzzy Clustering For Semantically Rich Multi Label Social Emotion Classification
... With the help of using Plutchik‘s wheel of emotions model and a rule-based approach for emotion detection in text makes it a good framework for emotion classification on social media and this was argued by ... See full document
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Effective Intrusion Detection with a Neural Network Ensemble Using Fuzzy Clustering and Stacking Combination Method
... single classification technique for intrusion detection might involve some difficulties and limitations such as high complexity, instability, and low detection precision for less frequent ...detection based ... See full document
13
Oil Reservoirs Classification Using Fuzzy Clustering (RESEARCH NOTE)
... for clustering as a main tool for data mining. Hard clustering methods ...are based on crisp logics which leads to strict clustering of the ...of fuzzy sets by which binary logics is ... See full document
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... novel classification scheme based on Independent Component Analysis method (ICA) ...the classification performance on the voice-lip dataset of some known linear ICA methods and fuzzy ... See full document
6
Using Fuzzy Center Mean (in general any) Clustering Methods to Construct Fuzzy Classifier Tuned to do Classification
... Tuning fuzzy classifier by above studied approach has lot of potential in classifying data points based on their inherent associative ...using clustering methods with the above implementation of two ... See full document
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Healthy and Asthmatic Sounds Classification using Fuzzy Clustering based Cascade Classifier Methods
... Naïve Bayes classifier is an easy but effective probabilistic classifier based upon Bayes' theorem with strong (naive) independence assumptions. Naïve Bayesian classifiers assume attributes which have independent ... See full document
7
Fast And Efficient Classification Algorithm For Fuzzy C-Means Clustering In Remote Sensing Images
... Image classification are most practical approaches among virtually all automated image recognition ...systems. Clustering of numerical data forms the basis of many classification and system modeling ... See full document
7
Fuzzy clustering-based feature extraction method for mental task classification
... For our experiment, we have used publicly available data for mental task classification (Keirn and Aunon, 1990). The original EEG dataset consists of recordings from seven subjects, but we utilized data from all ... See full document
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CLASSIFICATION OF TEXT USING FUZZY BASED INCREMENTAL FEATURE CLUSTERING ALGORITHM
... text classification can be done as follows: We specify the similarity threshold ρ, and apply our clustering ...classifier based on support vector machines (SVM) is ...the classification ... See full document
6
Identification of piecewise affine systems based on fuzzy PCA guided robust clustering technique
... a clustering identification method includes three steps: data clustering, parameter estimation, and region ...of clustering-based approaches is the data clustering stage because ... See full document
15
Fuzzy Neural Network for Clustering and Classification
... a fuzzy neural network for clustering and ...this fuzzy neural network two training algorithm are implemented for clustering and ...General Fuzzy min max Neural Network (GFMM)[4] and ... See full document
7
Comparison Support Vector Machine and Fuzzy Possibilistic C-Means based on the kernel for Knee Osteoarthritis data Classification
... considers classification methods of Support Vector Machine (SVM) and clustering methods using fuzzy clusterings such as Fuzzy C- Means (FCM), Fuzzy Possibilistic C-Means (FPCM), and ... See full document
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