Similarity-based OTU classification and representative se-
Clustering 16S rrna for OTU prediction: A similarity based method
... Abstract To study the phylogeny and taxonomy of samples from complex environments Next-generation sequencing (NGS)-based 16S rRNA sequencing, which has been successfully used jointly with the PCR amplification and ...
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Similarity-based Classification: Concepts and Algorithms
... Similarity-based classification is useful for problems in computer vision, bioinformatics, infor- mation retrieval, natural language processing, and a broad range of other ...fields. ...
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(Partial) user preference similarity as classification-based model similarity
... is based either on ratings for common rated items or on hypoth- esized user ...preferences based on classification similarity of the respective hypothesized user preference ...
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Classification Algorithm Based on Nodes Similarity for MANETs
... Keywords—MANETs; Classification; Routing; Clustering 1 Introduction A mobile ad hoc network (MANET) is a special case of wireless networks where each node can directly join its neighbors using its radio ...
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Hamming Embedding Similarity-based Image Classification
... image classification frame- work based on patch ...descriptors based on their binary signatures, which refines the matching rule based on visual words and thereby limits the quantiza- tion ...
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Gene based Disease Prediction using Pattern Similarity based Classification
... AND CLASSIFICATION ALGORITHM RESULTS Now days, Cancer prediction takes the vital role for the development in the Medical ...unique classification methods have been put on to cancer classification, ...
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Featureless Classification Model Training Algorithm Based On Similarity Measure
... for similarity based learning using distance transformation and distance is taken as the similarity ...Pair-wise Similarity Based Classifier which is used for train data set and ...
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Classification of heterogeneous data based on data type impact of similarity
... to similarity measurements and ...data classification: our purpose is to use heteroge- neity as a positive feature of the data classification effort by using consistently the similarity ...
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Multiview Point Based Similarity Measure for Text Classification and Clustering
... and classification is used to identify the customers as well as user opinion in sentimental ...the similarity between multiple ...to similarity measure for two set of text ...format based on ...
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Quality, frequency and similarity based fuzzy nearest neighbor classification
... Concretely, after determining the nearest neighbors of a test instance t, three measures are calculated for each neighbor. First, the frequency of the class of each neighbor among all nearest neighbors is calculated. ...
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Similarity based classification of ADHD using Singular Value Decomposition
... in classification, then used Bayesian network to extract relationship between well performed brain areas and finally applied SVM classifier to predict subjects as control, combined, inattentive or ...is ...
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A Fuzzy Similarity Based Concept Mining Model for Text Classification
... text classification [3] [4] [6] [7] [8] just for English language ...Text classification is performed on the textual document sets written in English language, one of the European Language, where words can ...
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An Efficient Method for Similarity Measure in Independent PCA based Classification
... the classification problem is that of determining to which sub-space class each test feature vector ...various classification methods like nearest neighbor classifier[13], artificial neural network[14], ...
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Incremental classification of process data for anomaly based detection based on Similarity Analysis
... tasks based on analyzing, similarity analysis and classification of many different data sets from real ...incremental classification of large data sets by using a specially introduced ...
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Matching and fusing signal-estimation errors for similarity-based pattern classification
... A basic study in the broad field of pattern recognition is the selection of good features that can be effectively utilized to distinguish the identities of different objects. Typ[r] ...
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An Iterative Similarity based Adaptation Technique for Cross domain Text Classification
... domain classification on Amazon review ...of similarity, we segregated the 12 cross-domain classification cases into two cat- egories based on similarity between two the par- ticipating ...
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Neural Network based Extreme Classification and Similarity Models for Product Matching
... Our dataset consists of four fields, the title that are available for all instances, gtin, brand and mpn that are partially available as shown in Table 1. The classification experiments are based on com- ...
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A Query Classification System based on Snippet Similarity for a One Click Search
... query classification system for a one-click search system that uses feature vectors based on snippet ...query classification subtask and classifies queries in Japanese and English into eight ...
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Similarity Based Entropy on Feature Selection for High Dimensional Data Classification
... pairwi- se constraints, which specifies whether a pair of data samples belong to the same class (must- link constraints) or different classes (cannot-link cons- ...chnique based on fuzzy entropy measures ...
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Prognostic by classification of predictions combining similarity-based estimation and belief functions
... the similarity between it and the degradation models was evaluated generating a set of Remaining Useful Life (RUL) estimates which were finally aggregated by a density estimation ...
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