[PDF] Top 20 Title: Clustering Sentence-Level Text Using a Fuzzy Back- Propagation Clustering Algorithm
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Title: Clustering Sentence-Level Text Using a Fuzzy Back- Propagation Clustering Algorithm
... on sentence-level similar analysis and non-negative matrix ...By using semantic analysis it construct similarity ...group sentence into cluster they were used similar matrix ...spectral ... See full document
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Title: Clustering Sentence-Level Text Using a Hierarchical Fuzzy Relational Clustering Algorithm
... Rank algorithm is that the importance of a node within a graph can be determined by taking into account global information recursively computed from the entire graph, with connections to high-scoring nodes ... See full document
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HIERARCHICAL FUZZY RELATIONAL CLUSTERING ALGORITHM FOR SENTENCE LEVEL TEXT
... [10] Clustering data based on a measure of similarity is a critical step in scientific data analysis and in engineering ...Affinity propagation takes as input a collection of real- valued similarities ... See full document
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Enhanced Sentence-Level Text Clustering using Semantic Sentence Similarity from Different Aspects
... proposed fuzzy clustering algorithm which is used for relational input ...existing algorithm uses a graph representation of the data, and performs based on Expectation-Maximization ...the ... See full document
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Aggregated Probabilistic Fuzzy Relational Sentence Level Expectation Maximization Clustering Algorithm for Efficient Text Categorization
... the sentence into words and then know the probability of belonging to a particular class or cluster ...hard clustering methods restrict each point of the data set to exactly one cluster ...subsets. ... See full document
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CLUSTERING PERFORMANCE IN SENTENCE USING FUZZY RELATIONAL CLUSTERING ALGORITHM
... document level, the assumption does not hold for small-sized text fragments such as sentences, since two sentences may be semantically related despite having few, if any, words in ...of sentence ... See full document
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Clustering Sentence-Level Text via a Novel Nebulous Relational Clustering Algorithm
... hard clustering methods, in which a pattern belongs to a single cluster, fuzzy clustering algorithms allow patterns to belong to all clusters with differing degrees of ...novel fuzzy ... See full document
7
An Adaptive Hierarchical Clustering Algorithm for Segmenting Sentence level Text
... of text mining and data ...challenge. Text clustering has discovered an important usage to organize information and to extract useful information from the available ...for clustering the ... See full document
5
HIERARCHICAL FUZZY RELATIONAL CLUSTERING ALGORITHM FOR SENTENCE LEVEL TEXT
... various clustering algorithms. Each algorithm will cluster a set of data objects into meaningful and useful ...day’s clustering is used in different domains and applications like bioinformatics, ... See full document
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SENTENCE LEVEL TEXT CLUSTERING USING A FUZZY RELATIONAL CLUSTERING ALGORITHM
... items. Sentence clustering mainly used in variety of applications such as classify and categorization of documents, automatic summary generation, organizing the documents, ...In text processing, ... See full document
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An Efficient Automatic Clustering using Fuzzy Kernel Mapping with Density Clustering Algorithm
... ABSTRACT: Clustering is the application of data mining techniques to discover patterns from the ...density clustering algorithm (FKMDC)” incorporates clustering concept, which is the process ... See full document
5
CLUSTERING WITH SIDE INFORMATION FOR MINING TEXT DATA
... with text document in several text mining ...When text clustering a problem can comes in some type of application such as web, social networks and also some other digital ...of text ... See full document
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RANKING THE INFLUENCE USERS IN A SOCIAL NETWORKING SITE USING AN IMPROVED TOPSIS METHOD
... substractive clustering using different radius value, showed there is an squared average decrease error when the radius approached 0 ...output, using radius ...sufficient using radius ... See full document
9
Study on swarm optimization clustering algorithm
... the algorithm is that it cannot show clearly the relation between data samples and clustering center, and in practice it is hard to find a problem needed to be distinguished so ...of fuzzy set is ... See full document
7
Name Entity Recognition and Natural Language Processing for Improvised Fuzzy clustering in Web Documents
... cluster algorithm to identify and discover the basic contextual understatement and meaning in Web ...proposed algorithm extracts the functionality of Web documents using random conditional field ... See full document
7
One Rough Intuitionistic Type 2 FCM Algorithm for Image Segmentation
... complete algorithm using rough set based on intuitionistic type-2 fuzzy c- means clustering for robust and fast segmentation, which is a bottleneck to restrict the application of magnetic ... See full document
5
Fuzzy Supervised Clustering Algorithm with the Particle Swarm Optimization
... known fuzzy partition clustering algorithms, Gustafson-Kessel (GK) clustering algorithm and Gath-Geva (GG) clustering algorithm [3] were developed to detect non- spherical ... See full document
5
Semi Supervised Clustering Ensemble Approaches Over Multiple Datasets
... supervised clustering, unsupervised clustering and semi ...for clustering. Clustering algorithms depend on dynamic learning, with ensemble clustering implies algorithm, data ... See full document
5
IMAGE SEGMENTATION USING FUZZY CLUSTERING ALGORITHM
... weighted fuzzy c-means (KFCM) algorithm is proposed to cluster incomplete ...KFCM clustering algorithm is performed still in original data space, ... See full document
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Prediction-Based Portfolio Optimization Model for Iran’s Oil Dependent Stocks Using Data Mining Methods
... methods. They concluded that the traditional methods were less accurate than the intelligent-based methods. Kanjamapornkul et al. (2016) developed a new technique to analyze and predict the financial markets and time ... See full document
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