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Search results for: cluster
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Year: 2016, Volume: 16, Number: 1
... relations between entities such as personal and converted into a cluster, and sentences that have the same geographic names ... the biomedical domain [1]. Distant supervision a clustering method to create a learning corpus and semantic uses ... same with each other, they can be in different clusters, depending on their entity type. For example ...
Year: 2010, Volume: 10, Issue: 1
... . Detecting a fault involves search, Depth-first search and cluster analysis. Then, we seek identifying a characteristic ... list) called simple artificial datasets. The most common clustering "open", and then, once examined ... are placed in the container algorithm choices are hierarchical cluster analysis. "closed" [20]. 29 ...
Year: 2013, Volume: 13, Number: 3
... ).| G | G 2 Clustering or cluster analysis is an unsupervised x  Gy 2 ( ... distribution (probability in the same manner as general data clustering algorithms, distribution with two different modes). ... in the following equation: of objects into groups (clusters), so that similar objects | Gy ...
Year: 2010, Volume: 10, Issue: 1
... and Computer Engineering Volume 10, Number 1, 2010 Cluster Classification of Partial Discharges in Oil-impregnated Paper Insulation S.D.R ... V. PD PATTERN CLASSIFICATION E. Floating Discharge Fuzzy clustering analysis is a technique for statistical Badly earthed objects ... those The conventional experimental setup for PD measurement in other clusters. A Fuzzy C-Means Clustering (FCM) based ...
Year: 2019, Volume: 19, Number: 3
... each SSE of 1.3969 108. However, ALO-based 5-Parameter cluster is updated by regarding the mean value of all ... 5- parameter logistic functions were used to build the clustering method to the best hybrid power curve model power ... , RMSE of 54.60 kW and measure. Once all clusters are created, the centroid of each SSE of ...
Year: 2016, Volume: 16, Number: 4
... for some time with label b that represents the chunk cluster. In other [10], [19 ... to investigate of downloading an image made up of three clusters: a, b, deduplication techniques for the ... image chunks rather than individual migration of virtual machines using cluster-wide deduplication," in chunks, which enables even ...
Year: 2010, Volume: 10, Issue: 2
... , j ), 1) it size of a cluster is between 20 and 30. Actually, devoration ... , j) to rule (d2) uses the clustering solution computed for( x g, y g ... — This paper presents a new approach with cellular into clusters based on proximity. The clusters in different multigrid ...
Year: 2010, Volume: 10, Issue: 4
... based on the color and shape where Ri belongs to cluster p of the vocabulary and similarities. The color ... of the term content-based image retrieval classification (using k-means clustering) and then applying a (CBIR) in ... is represented by N values set into groups (named clusters) of similar data. The {V1, ...
Year: 2019, Volume: 19, Number: 2
... simple algorithm to implement and has a good efficiency to cluster a dataset with similar For any function f belonging ... and steady regimes are used as feature input of K-means clustering algorithm, in order to classify them between healthy ... faulty conditions (1BRB). The first step in the implementation of K-means algorithm is Figure 3. Block ...
Year: 2016, Volume: 16, Number: 1
... lot of sensor networks (WSNs). Therefore, cluster heads (CHs) energy and use up their ... deployment we discuss related work in the area of the clustering and strategy to determine the locations and minimum number ... of a large number of sensor nodes in proposed a cluster-based routing scheme in rectangle locations difficult to access, ...
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