[PDF] Top 20 Semantic analysis based text clustering by the fusion of bisecting k means and UPGMA algorithm
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Semantic analysis based text clustering by the fusion of bisecting k means and UPGMA algorithm
... Several text clustering algorithms are presented in ...the clustering algorithms do not deal with the semantic information of the ...the semantic relationship of the ...the ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... methods based on deep learning for pedestrian detection have been proposed and achieved better results compared to traditional ...method based on convolutional sparse coding to pretrain the filters at each ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... [30]. Based on [31] study, system evaluation can be carried out in terms of the quality of system, services and information since these aspects influence the system’s utilization or intention towards utilizing it ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... The analysis technique that was used in analyzing the results of the answers to the questionnaires was quantitative descriptive, by explained the comparison results of the quality score of the evaluation model ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... Here is some step that we have done on the preprocessing part: (i) Data cleanup: Data cleanup starts with filter and reduce the incomplete data retrieved from the database. Incomplete bus journey such as dataset that ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... ACEIF/MFGLG algorithm. In ACEIF/MFGLG algorithm, an automatic image fusion algorithm [22], [7] is used to combine the MFGLG enhanced image with the original source ...This algorithm ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... This study used a systematic literature review methodology as defined by Ford et al. (2011) who asserts that “a systematic literature review is a summary and assessment of the state of knowledge on a given topic”. This ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... This study analyzes the advances of information technology governance (ITG) in the university context, through a systematic review of the literature. The following research questions are addressed: What progress has been ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... end semantic and there analysis to increase performance of TCP over ...congestion algorithm of TCP-NewReno used in TCP-WELCOME with dynamic minimum congestion path selection through cross layer ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... the analysis of the projec- tion number’s impact involved with the DBT set for a second time via the use of clinical images, increas- ing the number of projections to a maximum, re- sulted in improved image ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... web, clustering of the Arabic textual data into a small number of meaningful groups becomes an essential component in various information retrieval applications, such as recommender systems, sentiment ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... by clustering it into groups (clusters) before applying the statistical ...cluster analysis). The data is clustered using K-means algorithm in which the number of clusters resulted from ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... 3051 proposed improvement steps to minimize the effect. In supply chain management, data quality influence the economic benefit of the organization [25]. However, improvements towards data quality required the ... See full document
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Text Graph An Enhanced Graph Fusion Model for Document Clustering
... many clustering techniques has been proposed, each implementing a convinced approach for sensing the group formation in the data, such as K-means algorithm[2], Expectation Maximization and ... See full document
5
A Framework for Outlier Detection Using Improved Bisecting k-Means Clustering Algorithm
... The objective of the proposed frame work is to find clean data by preprocessing and to increase the accuracy of cluster analysis. In this study attention is placed on preprocessing, so that it removes the outliers ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... articles that were not available in a full text. Figure 2 (a) illustrates the growth of the published PSs in the field (Journal, conferences and overall) in lines tend. Whereas Figure 2 (b) shows a pie chart of ... See full document
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Tweet Clustering Using Bisecting K-means
... wavelet analysis is applied for the construction of daily ...for clustering words into ...incremental clustering algorithm in [19] is adopted for event detection and dynamically generated the ... See full document
7
Public Bicycle Site Area Division Based On Improved K - Means Algorithm
... improved k-means clustering algorithm to divide 130 sites into four classes, figure 1 shows the difference of the scheduling before and after the improvement from the aspects such as time, ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... Competitive Algorithm (RDICA) algorithm has been used for victim localization, to avoid a local optima problem, the exploration facility using do-revolution feature has been ...Competitive Algorithm ... See full document
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... proposed a solution in the form of CRO for instructions static scheduling. In particular, we leveraged the chemical reaction optimizer in order to optimize instructions static scheduling. According to the study’s ... See full document
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