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- Dear Researcher, Thank you for using this code and datasets. I explain how GEPFCM code related to my paper "Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof" published in Neurocomputing, works. The main datasets mentioned in the paper together with GEPFCM code are included. If there is any question, feel free to contact me at: bas_salaraskari@yahoo.com s_askari@aut.ac.ir Regards, S. Askari Guidelines for GEPFCM algorithm: 1. Open the file GEPFCM Code using MATLAB. This is relaxed form of the algorithm to handle noisy data. 2. Enter or paste name of the dataset you wish to cluster in line 15 after "load". It loads the dataset in the workplace. 3. For details of the parameters cFCM, cPCM, c1E, c2E, eta, and m, please read the paper. 4. Lines 17 and 18: "N" is number of data vectors and "D" is number of independent variables. 5. Line 26: "C" is number of clusters. To input your own desired value for number of clusters, "uncomment" this line and then enter the value. Since the datasets provided here, include "C", this line is "comment". 6. Line 28: "ruopt" is optimal value of ρ discussed in equation 13 of the paper. To enter your own value of ρ, "uncomment" this line. Since the datasets provided here, include "ruopt ", this line is "comment". 7. If line 50 is "comment", covariance norm (Mahalanobis distance) is use and if it is "uncomment", identity norm (Euclidean distance) is used. 8. When you run the algorithm, first FCM is applied to the data. Cluster centers calculated by FCM initialize PFCM. Then PFCM is applied to the data and cluster centers computed by PFCM initialize GEPFCM. Finally, GEPFCM is applied to the data. 9. For two-dimensional plot, "uncomment" lines 419-421 and "comment" lines 423-425. For three-dimensional plot, "comment" lines 419-421 and "uncomment" lines 423-425. 10. To run the algorithm, press Ctrl Enter on your keyboard. 11. For your own dataset, please arrange the data as the datasets described in the MS word file "Read Me".Data Types:
- Dataset
- File Set

- Dear Researcher, Thank you for using this code and datasets. I explain how GEPFCM code related to my paper "Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof" published in Neurocomputing, works. The main datasets mentioned in the paper together with GEPFCM code are included. If there is any question, feel free to contact me at: bas_salaraskari@yahoo.com s_askari@aut.ac.ir Regards, S. AskariData Types:
- Slides
- Software/Code
- Dataset
- Document

- This article presents an image texture and hue statistical projection based retrieval. First the image is converted to HSI color model, the gray value of the image extraction, and Robert algorithm to extract the texture, then the image is divided into blocks and extracts the main color block, the main color image blocks are respectively projected in the horizontal and vertical direction of 2, get 2 projection histogram, the 2 projection histograms of the first three order center extraction distance and Robert algorithm as the features of texture, image similarity calculation. Make a very full pave the way for future Canny edge processing algorithm research of image retrieval.Data Types:
- Dataset
- Document

- This code contains implementation for the binary ant lion optimizer (BALO) applied for feature selection in wrapper mode. Note: All work making use of such code must cite that paper: E. Emary, Hossam M. Zawbaa, Aboul Ella Hassanien, "Binary ant lion approaches for feature selection", Neurocomputing, 2016. DOI: 10.1016/j.neucom.2016.03.101Data Types:
- Dataset
- File Set

- This is an example FOAF (Friend of a Friend) dataset used with the SoNeR tool (https://github.com/gajop/SoNeR). It contains downloaded FOAF pages for the FOAF person instances and their relationships. Dataset consists of 84802 people, and 107485 known relationships, extracted from the Advogato social networking site (http://www.advogato.org/), with http://www.advogato.org/person/connolly/foaf.rdf#me as the initial URL and the Boards.ie forums (http://www.boards.ie/) using http://www.boards.ie/vbulletin/foaf.php?u=4 as the initial URL. The original OSP article can be found here: http://www.sciencedirect.com/science/article/pii/S0925231215014800Data Types:
- Dataset
- File Set