On the Use of Self-Organizing Map for Text Clustering in Engineering Change Process Analysis: A Case Study

Pacella, Massimo; Grieco, A; Blaco, Marzia

doi:10.1155/2016/5139574

Cited by 23 publications

(10 citation statements)

References 29 publications

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“…In cross-validation for choosing λ, other measures can also be adopted besides the proposed error (6). For example, it may be possible to maximize the Davies-Bouldin-index (DBI) (Davies & Bouldin, 1979), which is the ratio of the across-cluster distances to within-cluster distances and has been a popular choice in clustering analysis (Gupta, Mehrotra, & Mohan, 2010; Pacella, Grieco, & Blaco, 2016). The proposed approach can also be potentially extended to analyze multiple datasets from independent studies with comparable designs.…”

Section: Discussionmentioning

confidence: 99%

Overlapping clustering of gene expression data using penalized weighted normalized cut

Hidalgo

Zhu

et al. 2018

Genetic Epidemiology

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Clustering has been widely conducted in the analysis of gene expression data. For complex diseases, it has played an important role in identifying unknown functions of genes, serving as the basis of other analysis, and others. A common limitation of most existing clustering approaches is to assume that genes are separated into disjoint clusters. As genes often have multiple functions and thus can belong to more than one functional cluster, the disjoint clustering results can be unsatisfactory. In addition, due to the small sample sizes of genetic profiling studies and other factors, there may not be sufficient evidence to confirm the specific functions of some genes and cluster them definitively into disjoint clusters. In this study, we develop an effective overlapping clustering approach, which takes account into the multiplicity of gene functions and lack of certainty in practical analysis. A penalized weighted normalized cut (PWNCut) criterion is proposed based on the NCut technique and an L2 norm constraint. It outperforms multiple competitors in simulation. The analysis of TCGA data on breast cancer and cervical cancer leads to biologically sensible findings which differ from those using the alternatives. To facilitate implementation, we develop the function pwncut in the R package NCutYX.

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Section: Discussionmentioning

confidence: 99%

Overlapping clustering of gene expression data using penalized weighted normalized cut

Hidalgo

Zhu

et al. 2018

Genetic Epidemiology

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“…The operation of the network as described in [ 21 , 22 , 23 , 24 , 25 , 26 , 27 ] is summarized using the following 4 steps: Initialization …”

Section: Kohonen Neural Networkmentioning

confidence: 99%

Kohonen Neural Network Investigation of the Effects of the Visual, Proprioceptive and Vestibular Systems to Balance in Young Healthy Adult Subjects

Ojie

Saatchi

2021

Healthcare

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Kohonen neural network (KNN) was used to investigate the effects of the visual, proprioceptive and vestibular systems using the sway information in the mediolateral (ML) and anterior-posterior (AP) directions, obtained from an inertial measurement unit, placed at the lower backs of 23 healthy adult subjects (10 males, 13 females, mean (standard deviation) age: 24.5 (4.0) years, height: 173.6 (6.8) centimeter, weight: 72.7 (9.9) kg). The measurements were based on the modified Clinical Test of Sensory Interaction and Balance (mCTSIB). KNN clustered the subjects’ time-domain sway measures by processing their sway’s root mean square position, velocity, and acceleration. Clustering effectiveness was established using external performance indicators such as purity, precision-recall, and F-measure. Differences in these measures, from the clustering of each mCTSIB condition with its condition, were used to extract information about the balance-related sensory systems, where smaller values indicated reduced sway differences. The results for the parameters of purity, precision, recall, and F-measure were higher in the AP direction as compared to the ML direction by 7.12%, 11.64%, 7.12%, and 9.50% respectively, with their differences statistically significant (p < 0.05) thus suggesting the related sensory systems affect majorly the AP direction sway as compared to the ML direction sway. Sway differences in the ML direction were lowest in the presence of the visual system. It was concluded that the effect of the visual system on the balance can be examined mostly by the ML sway while the proprioceptive and vestibular systems can be examined mostly by the AP direction sway.

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“…It was considered as the cluster that enclosed the main visual concepts displayed in the video. Self-organizing maps (SOM) have been already used for text clustering (Klami & Lagus, 2006;Pacella et al, 2016). They are well adapted for doing such kind of tasks.…”

Section: Word Clusteringmentioning

confidence: 99%

A New Approach for Video Concept Detection Based on User Comments

Thabet

Ellouze

Zaied

2021

Journal of Information and Communication Technology

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Video concept detection means describing a video with semantic concepts that correspond to the content of the video. The concepts help to retrieve video quickly. These semantic concepts describe high-level elements that depict the key information present in the content. In recent years, many efforts have been done to automate this task because the manual solution is time-consuming. Nowadays, videos come with comments. Therefore, in addition to the content of the videos, the comments should be analyzed because they contain valuable data that help to retrieve videos. This paper focused especially on videos shared on social media. The specificity of these videos was the presence of massive comments. This paper attempted to exploit comments by extracting concepts from them. This would support the research effort that works only on the visual content. Natural language processing techniques were used to analyze comments and to filter words to retain only the ones that could be considered as concepts. The proposed approach was tested on YouTube videos. The results demonstrated that the proposed approach was able to extract accurate data and concepts from the comments that could be used to ease the retrieval of videos. The findings supported the research effort of working on the visual and audio contents of the videos.

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On the Use of Self-Organizing Map for Text Clustering in Engineering Change Process Analysis: A Case Study

Cited by 23 publications

References 29 publications

Overlapping clustering of gene expression data using penalized weighted normalized cut

Overlapping clustering of gene expression data using penalized weighted normalized cut

Kohonen Neural Network Investigation of the Effects of the Visual, Proprioceptive and Vestibular Systems to Balance in Young Healthy Adult Subjects

A New Approach for Video Concept Detection Based on User Comments

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