fclust: An R Package for Fuzzy Clustering

Ferraro, Maria Brigida; Giordani, Paolo; Serafini, Alessio

doi:10.32614/rj-2019-017

Cited by 66 publications

(45 citation statements)

References 31 publications

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“…All the analysis was implemented by the open source statistical software R [44]. In particular the packages fda [45] for FDA and fclust [46] for fuzzy cluster analysis were used.…”

Section: Resultsmentioning

confidence: 99%

A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The case of allergic rhinoconjunctivitis in childhood

Giordani

Perna

Bianchi³

et al. 2020

PLoS ONE

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The use of mobile communication devices in health care is spreading worldwide. A huge amount of health data collected by these devices (mobile health data) is nowadays available. Mobile health data may allow for real-time monitoring of patients and delivering ad-hoc treatment recommendations. This paper aims at showing how this may be done by exploiting the potentialities of fuzzy clustering techniques. In fact, such techniques can be fruitfully applied to mobile health data in order to identify clusters of patients for diagnostic classification and cluster-specific therapies. However, since mobile health data are full of noise, fuzzy clustering methods cannot be directly applied to mobile health data. Such data must be denoised prior to analyzing them. When longitudinal mobile health data are available, functional data analysis represents a powerful tool for filtering out the noise in the data. Fuzzy clustering methods for functional data can then be used to determine groups of patients. In this work we develop a fuzzy clustering method, based on the concept of medoid, for functional data and we apply it to longitudinal mHealth data on daily symptoms and consumptions of anti-symptomatic drugs collected by two sets of patients in Berlin (Germany) and Ascoli Piceno (Italy) suffering from allergic rhinoconjunctivitis. The studies showed that clusters of patients with similar changes in symptoms were identified opening the possibility of precision medicine.

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“…All the analysis was implemented by the open source statistical software R [44]. In particular the packages fda [45] for FDA and fclust [46] for fuzzy cluster analysis were used.…”

Section: Resultsmentioning

confidence: 99%

A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The case of allergic rhinoconjunctivitis in childhood

Giordani

Perna

Bianchi³

et al. 2020

PLoS ONE

Self Cite

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“…This variant is used to see the results of variance in data distribution between clusters. The greater the value of V b , the better the cluster [21] [22]. The equation for calculating V b is shown in (4).…”

Section: Discussionmentioning

confidence: 99%

Combined Text Mining: Fuzzy Clustering for Opinion Mining on the Traditional Culture Arts Work

Sonalitha¹,

Zubair²,

Molyo³

et al. 2020

IJACSA

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The Indonesian government is currently intensifying work programs in the field of traditional arts and culture. In order to realize the promotion of the country's culture, the government has enacted a law on cultural promotion. One indicator of the achievement of the promotion of culture, among others, with the collection of data on traditional culture, the data mapping and data inventory can be processed into information and knowledge. In this research, indicators of performance indicators were compiled from connoisseurs of traditional works of art using data in the city of Malang, East Java, Indonesia. The results of the audience's opinion on cultural offerings can be used as a benchmark for the success of the promotion of traditional culture. When the culture is explored and tried to be displayed again, it is important to know the audience's satisfaction and understanding of the display that has just been witnessed. The results of the description of respondents in the form of opinions on the artwork will be collected as data processed using Text Mining with the Clustering of Fuzzy C-Means method to determine the audience's opinion about Feeling , which is related to feelings when viewing the beauty of the artwork, Value is related to the assessment to an art work that can be in the form of art weights contained in the work of art, and Emphasizing , which is related to empathy or respect for the art world, including professions related to the world such as dancers, musicians and others. The results achieved from this study show that has good performance on the proposed method. This can be known from the results of data testing using cluster variance V = 0.00000217901. Based on these values it can be concluded that the value of all cluster variants is good.

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“…From a computational point of view, the SSCI index was calculated using R software, with the p2distance package [94]. Cluster analysis instead was performed using the fclust R package [95].…”

Section: Methodsmentioning

confidence: 99%

A Partially Non-Compensatory Method to Measure the Smart and Sustainable Level of Italian Municipalities

2021

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A smart sustainable city (SSC) is a paradigm that encapsulates the latest lines of development in multiple fields of research. The attempt to converge towards a model of sustainable urban life, made difficult by increasing anthropic pressure and polluting activities conducted by man, is also reflected in the intentions of public institutions to take measures of environmental risk mitigation. The change towards more liveable cities must also include the adoption of more far-reaching measures in various sectors. The objective of our work was to provide an analysis in order to assess which of the Italian provincial municipalities were most closely related to the paradigm of SSCs. This aim was pursued through a comparison based on the results of a partially non-compensatory quantitative method, known as the Pena’s Distance method (DP2). The smartest and most sustainable cities, such as Siena, Milan and Padua, were not identified on the basis of common urban characteristics but rather derived from the combination of distinctive and functional elements in the pursuit of a strategic approach aimed at fully exploiting the resources of each area. Moreover, at a macro-geographical level, from the analysis emerged the presence of contiguous clusters, i.e., areas in which a major concentration of smart sustainable municipalities tended to form.

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fclust: An R Package for Fuzzy Clustering

Cited by 66 publications

References 31 publications

A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The case of allergic rhinoconjunctivitis in childhood

A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The case of allergic rhinoconjunctivitis in childhood

Combined Text Mining: Fuzzy Clustering for Opinion Mining on the Traditional Culture Arts Work

A Partially Non-Compensatory Method to Measure the Smart and Sustainable Level of Italian Municipalities

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