[PDF] Top 20 An Efficient Fuzzy Data Clustering Algorithm for Relational Databases
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An Efficient Fuzzy Data Clustering Algorithm for Relational Databases
... unsupervised. Clustering is an unsupervised ...partitioning data into clusters in such a manner that objects that belong to same cluster are similar to each other in some manner whereas are dissimilar to ... See full document
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Fast And Efficient Classification Algorithm For Fuzzy C-Means Clustering In Remote Sensing Images
... of clustering is to identify natural groupings of data from a large image data set to produce a concise representation of ...use fuzzy iterative clustering algorithms that provide a ... See full document
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Aggregated Probabilistic Fuzzy Relational Sentence Level Expectation Maximization Clustering Algorithm for Efficient Text Categorization
... the algorithm to data sets, and shows that the algorithm performs better than other fuzzy clustering ...proposed algorithm, the use of Page score algorithm is to calculate ... See full document
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An Efficient Automatic Clustering using Fuzzy Kernel Mapping with Density Clustering Algorithm
... the clustering analysis has been applied in a wild variety of fields such as biology, medicine, economics, ...series clustering, dimension reduction methods like data sampling or piecewise aggregate ... See full document
5
An Efficient Fuzzy Clustering Algorithm Based on Modified K-Means
... from data. The approach depends on a fuzzy clustering technique that is defined by three sequential ...Double Clustering algorithm is applied on available symptoms measurements, to ... See full document
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HIERARCHICAL FUZZY RELATIONAL CLUSTERING ALGORITHM FOR SENTENCE LEVEL TEXT
... In existing system, most popular vector space model is successful. This model is able to capture the semantic content of document level text. In high dimensional vector space, the data points similar to a unique ... See full document
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Energy Efficient Fuzzy Clustering Algorithm in Wireless Sensor Networks
... send data in its timeslot, this prevent collision and then to provide energyefficiency, go to sleep mode until next slot, and this causenodes consume less ...energy.In data transmission, cluster members ... See full document
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Scalable Parallel Clustering Approach for Large Data using Possibilistic Fuzzy C Means Algorithm
... ago, clustering, which is one of the renowned data mining techniques, is being extensively studied and applied in numerous applications [1, ...2]. Clustering can be defined as a process of allocating ... See full document
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Implementation of Efficient Keyword Search in Relational Databases
... In the literature, the existing works are categorized into schemabased approaches and schema-free approaches for (structural) keyword search. The schema-based approaches process a keyword query in two steps, namely, ... See full document
6
Efficient Practices of Privacy Preservation in Relational Databases
... an algorithm named Selection Mondrian algorithm, it is a modification to the greedy multidimensional partitioning algorithm Mondrian ...their algorithm, the greedy splitting heuristic ... See full document
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Fuzzy Relational Spectral Clustering Method for Document Clustering
... Sentence clustering intends at grouping sentences with similar meanings into ...Spectral clustering method uses eigenvectors of matrices constructed using measures of similarity between the data ... See full document
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A Survey on Techniques used for Sentence Clustering of Text Documents
... novel fuzzy relational clustering ...the data as a combination of ...PageRank algorithm to each cluster, and interpreting the Page-Rank score of an object within some cluster as a ... 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 ...between data points, where the similarity indicates how well the ... See full document
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CLUSTERING PERFORMANCE IN SENTENCE USING FUZZY RELATIONAL CLUSTERING ALGORITHM
... a fuzzy c-partition p = ...the fuzzy set in cluster. In fuzzy object data clustering, on the other hand, the problem of classifying N objects into C types is typically solved by, first, ... See full document
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Title: Clustering Sentence-Level Text Using a Fuzzy Back- Propagation Clustering Algorithm
... rank algorithm in the ...hierarchical fuzzy clustering relational ...the data from a document they were taken as an input by using mining algorithm such as k-means ...the ... See full document
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SENTENCE LEVEL TEXT CLUSTERING USING A FUZZY RELATIONAL CLUSTERING ALGORITHM
... such fuzzy relationships will lead to an increase in the breadth and scope of problems to which sentence clustering can be ...However, clustering text at the sentence level poses specific challenges ... See full document
10
Fuzzy Object Oriented Database versus FRDB for Uncertainty Management
... the efficient management of data drawn from a limited set of ...Whereas fuzzy object oriented database systems focused on abstraction, inheritance, behavior and ...Both databases have their ... See full document
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Design and development of intelligent computational techniques for power quality data monitoring and management
... quality data on all the three phases of the electrical power distribution system were ...quality data containing multiple parameters it becomes very difficult to analyse the power system behaviour by ... See full document
136
High Dimensional Data used in Consensus Neighbour Clustering with Fuzzy Based K-Means and Kernel Mapping
... using fuzzy based kernel mapping to approximate local data centers is not only a feasible option, but also frequently leads to improvement over the centroid-based ...the fuzzy based k-means and ... See full document
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EFFICIENT AND FAST CLUSTERING ALGORITHM FOR REAL TIME DATA
... specific algorithm, but the general task to be ...the data space, intervals or particular statistical ...appropriate clustering algorithm and parameter settings (including values such as the ... See full document
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