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Questions tagged [fuzzy-c-means-clustering]

Fuzzy c-means (FCM) is a clustering algorithm related to k-means. It differs principally in allowing points to belong to more than one cluster.

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Clustering Noisy Data [closed]

There are various ways to cluster data. Some require the data first to be scaled to have a mean of $0$ and standard deviation of $1$. However, others do not mention if the data should be scaled at all....
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what`s the name or meaning of this clustering algorithm?

I have been learning the fuzzy clstering algorithm recently,and I got an object function as following: \begin{array}{l} \min \;\;J = \sum\limits_{i = 1}^N {\sum\limits_{k = 1}^K {\sum\limits_{j = 1}^...
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What ever happened to Fuzzy Logic?

Fuzzy logic seemed like an active area of research in machine learning and data mining back when I was in grad school (early 2000s). Fuzzy inference systems, fuzzy c-means, fuzzy versions of the ...
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Fuzzy Correlation Clustering for psychometric scale/item analysis

I`m attempting to find an adequate composition of items from an psychometric questionnaire for further analysis. Unfortunately, the relatively small sample size is exceeded by a large item pool. ...
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How to combine Fuzzy C-means clustering and Support vector regression for building a hybrid model FCM-SVR in R?

I have read one article and found that they used the Fuzzy C-means clustering algorithm and support vector regression for building the FCM-SVR predictive model. I see they split the data into 3 ...
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fuzzy rule extraction using fuzzy c-means

I have read an article which is about implementing classification methods using fuzzy-inference. It has used c-means, in one of its parts, for extracting fuzzy-rules. It says we have a fuzzy-rule ...
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Is it fair to compare latent dirichlet allocation to c-means clustering?

I'm trying to think of a good way to explain latent dirichlet allocation (LDA) to an audience that knows a decent amount about clustering, but nothing about text analysis. Is it fair to draw a ...