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Dear all

I would like to know which clustering algorithm can work better regarding the execution time and the result, I know the K-means algorithm but I am not sure is it fast or not and can be implemented in the real-time application?

Also, I hope to know if it is possible to make clustering to audio segments depends on standard deviation by mean value ratio ( σ2/μ ) feature only.  

I hope to advise me about these two inquires.

Regards

Dear Researchers, could you please tell me how I can find the best number of clusters in FCM method? My data set has 3 dimension.

I am working on data high dimensional data.

E.g. the Fisher's Iris dataset gives very clear clusters. I am looking for more publicly available well-clustered datasets.

What changes should we make for the fcm function in matlab to get penalized fcm? Or any approach to implement penalized fcm for brain tumour segmentation?

Hello All,

I need to test the performance of a clustering algorithm that 

takes as an entry an (x,y) value

What i should do?

What is the criteria for Conditional FCM algorithm (program) to terminate when used for centre selection in RBFNN?

hello, everyone. I am puzzled, is there exist an absolute standard for clustering, like correctness for classification, to evaluate the quality of a clustering result? ps, I have no human labels for the dataset. Thank you!

Hi All

could someone told me what is the good measure to evaluate the results of cluster algorithm for feature selection?. I am working in gene expression data clustering and I need to measure the quality of the clustered features?  is there any software that can do this?

please advice 

Can a human cluster the data-set manually?

Instead of using the clustering algorithms like Connectivity based clustering (hierarchical clustering),Centroid-based clustering,

Distribution-based clustering,

Density-based clustering etc

Can a Human manually cluster the Iris dataset?

For our convenience let us consider it as a two dimensional dataset.

By what means the human cluster the dataset? How will he/she cluster the dataset? Or the data clustering is done by the human?