2022
DOI: 10.1155/2022/5374111
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College Students’ Mental Health Support Based on Fuzzy Clustering Algorithm

Abstract: There are some problems in the active participation of college students in ideological and mental health support services in China, such as low attention, low participation, and high data redundancy. Based on this, this paper studies the active participation of college students’ ideological and mental health support service based on fuzzy cluster analysis algorithm. Compared with the disadvantages of the current mainstream discrete optimization analysis models on mental health (such as high-dimensional enterpr… Show more

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Cited by 2 publications
(2 citation statements)
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“…The fuzzy C-means clustering algorithm has been widely used for e-learning analysis [47][48][49]. As suggested by [42], this algorithm was selected as a suitable method for research due to its ability to generate approximate solutions in a more expedient manner, as well as its ability to address problems related to understanding patterns, incomplete/noisy data, mixed-media information, and human interaction.…”
Section: Step 2: Fuzzy C-means Clustering Analysis Of E-learning Indi...mentioning
confidence: 99%
“…The fuzzy C-means clustering algorithm has been widely used for e-learning analysis [47][48][49]. As suggested by [42], this algorithm was selected as a suitable method for research due to its ability to generate approximate solutions in a more expedient manner, as well as its ability to address problems related to understanding patterns, incomplete/noisy data, mixed-media information, and human interaction.…”
Section: Step 2: Fuzzy C-means Clustering Analysis Of E-learning Indi...mentioning
confidence: 99%
“…The cluster centres are set up first, the number of cluster centres is determined, and the last cluster centre is obtained using the idea of data extraction and class integration [ 16 ]. The data set is separated into N clusters, and every data point is partially allocated to each cluster using the fuzzy c-means (FCM) data clustering method [ 17 ]. Initially, the student's mental health-related factors are separated into subcategories.…”
Section: Introductionmentioning
confidence: 99%