[PDF] Top 20 Nuevas perspectivas en el tratamiento del síndrome de apnea-hipopnea obstructiva del sueño
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It Is Combined With the Similarity Measure Based Multi Viewpoint
... concentrated. Based on the Hierarchical Clustering Method, the usage of Expectation-Maximization (EM) algorithm in the Gaussian Mixture Model to count the parameters and make the two sub-clusters combined ... See full document
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Implementation of Hierarchical Clustering with Multiviewpoint-Based Similarity Measure
... K-means clustering [9] is a partitioning method which splits the data into k partitions, where each partition represents a cluster. Due to its straightforwardness and easy to use it is top 10 in data mining domain. ... See full document
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An Energy-Based Similarity Measure for Time Series
... clustering, similarity search, prediction, and ...to measure the similarity or dissimilarity between TSs ...the similarity of TSs or objects is crucial in any data analysis and decision mak- ... See full document
5
Method for Improving the Similarity Measure of Sparse Scoring Based on the Bhattacharyya Measure
... to measure the degree of similarity of ...neighbor based collaborative filtering algorithm, many researchers have introduced different methods to solve the problem of data sparsity and cold start ... See full document
6
MULTI – CRITERIA GROUP DECISION MAKING MODEL IN NEUTROSOPHIC REFINED SET AND ITS APPLICATION
... paper, multi criteria group decision making model has been presented based on tangent similarity measure of neutrosophic refined ...tangent similarity measure in neutrosophic ... See full document
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The Zhang and Fu's Similarity Measure on Intuitionistic Fuzzy Multi Sets
... novel Similarity measure for Iintuitionistic fuzzy multi sets (IFMS) based on Zhang and Fu’s measure, as Similarity Measure is an important topic in fuzzy set ...considers ... See full document
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A New Structural Similarity Measure: Clustering of Multi-Structured Documents
... structurally similar. The choice of the generic view to what the specific view must be attached is based on comparing it to all the generic views of the documentary warehouse. We are interested in the structural ... See full document
10
Volume 2, Issue 3, March 2013 Page 522
... concept-based similarity measure, based on matching concepts at the sentence, document, corpus and combined approach rather than on individual terms (words) only, is ... See full document
262
A Robust Approach for Multi-Modal Image Registration
... registering multi-modal images using structural ...are based on statistical or structural similarity measure, which makes the procedure ...the multi-modal ... See full document
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Similarity measure for retrieval of question items with multi-variable data sets
... Nowadays, similarity measure approach is one of the most interest areas in retrieving closely similar cases that stored in ...particular similarity measurement techniques in retrieving the similar ... See full document
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TextFlow: A Text Similarity Measure based on Continuous Sequences
... Text similarity measures are used in multi- ple tasks such as plagiarism detection, in- formation ranking and recognition of para- phrases and textual ...existing similarity measures do not fully ... See full document
17
SSM DENCLUE : Enhanced Approach for Clustering of Sequential Data: Experiments and Test Cases
... them based on similarity and consists of minimizing the Intra-cluster similarity and maximizing the Inter-group ...to measure similarity between web ...multiple similarity ... See full document
8
The Application of Regional Combined Feature Variance Covariance Matrix in Point Cloud Similarity Measure
... in similarity measure of free form surfaces point ...a combined feature variance-covariance matrix based on region segmentation coupled with matrix similarity ...features based ... See full document
21
A Survey of Text Similarity Approaches
... text similarity approaches were discussed; String-based, Corpus-based and Knowledge-based ...character based while the other are term-based distance ...Corpus-Based ... See full document
21
Resolving Occlusion in Multi-Object Tracking through Integrated Fuzzy Similarity Measure
... In multi-object tracking, occlusion is a situation where part of an object is covered by another object or any structure in the video ...in multi-object tracking for real world video scenes and is a cause ... See full document
5
Application of Concept-Based Mining Model in Text Clustering
... are based on the statistical analysis of the term ...the similarity between the documents may be ...concept-based similarity measure is used to determine the similarity between ... See full document
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A New Similarity Measure for Combining Conflicting Evidences
... The theory of evidences and belief also called Dempster- Shafer theory of evidence, presented by the Glenn Shafer and Dempster in [Shafer, 1976], is described here in a concise manners. This theory is developed to ... See full document
8
Hybrid Logarithm Similarity Measure Based MAGDM Strategy under SVNS Environment
... novel multi attribute group decision making strategy for single valued neutrosophic sets based on 22.. the weighted hybrid logarithm similarity measure.[r] ... See full document
15
Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure
... It is impossible to content with a centralized and rigid approach to design a diagnostic system. Distribute the diagnostic procedure seems obvious in this case. Consequently, the idea appears in order to multiply ... See full document
203
Different Algorithmic Approach for Type 2 Fuzzy Shortest Path Problem on a Network
... set”. Similarity is an important tool to provide the foundation for analogical reasoning between two fuzzy concepts and has widespread ...calculating similarity of fuzzy sets is based on their ... See full document
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