Relational clustering
Clustering Sentence-Level Text via a Novel Nebulous Relational Clustering Algorithm
... Fuzzy Relational Clustering Unlike Gaussian mixture models, which use a likelihood function parameterized by the means and co-variances of the mixture components, the proposed algorithm uses the PageRank ...
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Title: Clustering Sentence-Level Text Using a Hierarchical Fuzzy Relational Clustering Algorithm
... fuzzy clustering of sentence-level text, and the need for an algorithm which can accomplish this task based on relational input ...Spectral Clustering and k- Medoids algorithms when externally ...
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Multi type relational clustering approaches : current state of the art and new directions
... distance-based clustering, DIVA developed with the aim of developing efficient, effective and flexible multi-relational clustering ...multi-phase clustering approach consisting of an initial ...
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Profile Based Cross Document Coreference Using Kernelized Fuzzy Relational Clustering
... soft relational clustering algorithm that makes use of the learned distance function to partition the entities into fuzzy sets of ...kernelized clustering method with a popular fuzzy relation ...
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HIERARCHICAL FUZZY RELATIONAL CLUSTERING ALGORITHM FOR SENTENCE LEVEL TEXT
... mining clustering can be done at the sentence level and document ...the clustering is depends on the how the cluster is similar or dissimilar between the data ...points. Clustering algorithms are ...
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Relational clustering models for knowledge discovery and recommender systems
... However, such manually maintained taxonomies are only feasible for small or static datasets. In contrast, Automated Taxonomy Generation (ATG) techniques have the ability to process huge and dynamic datasets and so has ...
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HIERARCHICAL FUZZY RELATIONAL CLUSTERING ALGORITHM FOR SENTENCE LEVEL TEXT
... day’s clustering is used in different domains and applications like bioinformatics, Business Modeling and Image Processing, ...sentence clustering is used and the output of clustering should be ...
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SENTENCE LEVEL TEXT CLUSTERING USING A FUZZY RELATIONAL CLUSTERING ALGORITHM
... Sentence clustering mainly used in variety of applications such as classify and categorization of documents, automatic summary generation, organizing the documents, ...sentence clustering plays a vital role ...
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Robust Multi Relational Clustering via ℓ1 Norm Symmetric Nonnegative Matrix Factorization
... Traditional clustering aims to partition data points into several groups, such that the data points in the same group can share some commonalities whilst those from different groups are ...
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CLUSTERING PERFORMANCE IN SENTENCE USING FUZZY RELATIONAL CLUSTERING ALGORITHM
... Similarity measure, which is generally defined on the attributes of a data set, has a major impact on clustering results and it must be selected according to the clustering needs. Moreover, not every ...
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AN APPLICATION OF MULTIRELATIONAL CLUSTERING WITH DOMAIN EXPERT GUIDENCE FOR VERIFYING SESSION FIXING IN CRICKET
... multi relational clustering process is used to partition these different data objects into a set of ...in clustering and tuple ID propagation is used to avoid physical ...
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Enhanced Sentence-Level Text Clustering using Semantic Sentence Similarity from Different Aspects
... use relational clustering techniques such as Spectral Clustering [12] and Affinity Propagation [13], which take input data in the form of a square matrix W = {w ij } (often referred to as the ...
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Relational visual cluster validity
... visual clustering validity approach for relational data (RVCV) is described based on the visual cluster validity method (Hathaway and Bezdek, ...a relational clustering algorithm to partition ...
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Title: Clustering Sentence-Level Text Using a Fuzzy Back- Propagation Clustering Algorithm
... fuzzy relational clustering algorithm which does not require any limitation on relational matrix is depending on the given fuzzy C-means (FCM) ...the clustering of the text data which is ...
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Hierarchical Semantic Relational Coverage Measure Based Web Document Clustering Using Semantic Ontology
... There are number of approaches has been discussed for the problem of web document clustering and information retrieval. Various methods of document clustering has been reviewed in this section. In [1], the ...
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Online Full Text
... Data clustering is an unsupervised method for extraction hidden pattern from huge data ...the clustering techniques which is performing dimension reduction, and the main disadvantage is sacrificing the ...
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Application of Incremental Relational Fuzzy Subtractive clustering Algorithm for Web Profile mining in Dynamic Environment
... In this paper a framework for mining, tracking, and validating evolving multifaceted user profiles on Web sites that have dynamic environment has been carried. The present work provided scope for analysis of the user ...
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POLY: Mining Relational Paraphrases from Multilingual Sentences
... Language resources that systematically orga- nize paraphrases for binary relations are of great value for various NLP tasks and have re- cently been advanced in projects like PATTY, WiseNet and DEFIE. This paper presents ...
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Semi-supervised heterogeneous evolutionary co-clustering
... in each category. Based on the extracted visual features we build three rational matrices. The image − color, image − texture and the image − log which simulated the heteroge- nous environment for the experiments. Each ...
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Aggregated Probabilistic Fuzzy Relational Sentence Level Expectation Maximization Clustering Algorithm for Efficient Text Categorization
... Fuzzy relational sentence level expectation Maximization clustering ...of clustering techniques was derived with more complex prototypes, which are mainly interesting in data analysis applications ...
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