Rank: 2702 based on 36 downloads (last 30 days) and 2 files submitted

Nejc Ilc


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machine learning, data mining, bioinformatics


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18 Jun 2013 Screenshot Modified & Generalized Dunn's index An implementation of Modified and Generalized Dunn's index for internal cluster validation. Author: Nejc Ilc clustering, validation, dunns index, dunn, internal, generalization 23 0
12 Jun 2013 Screenshot Rank aggregation Summarizes ordered lists. Author: Nejc Ilc statistics, data exploration, rank aggregation, ranking, consensus 13 0
Comments and Ratings by Nejc View all
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12 Jul 2014 MatlabBGL MatlabBGL provides robust and efficient graph algorithms for Matlab using native data structures. Author: David Gleich

10 Dec 2013 Information Theory Toolbox Functions for Information theory, such as entropy, mutual information, KL divergence, etc Author: Mo Chen

Very useful and efficient toolbox, thank you. However, there is a bug in the nmi.m. last sentence should read:
z = sqrt((MI/Hx)*(MI/Hy));
Output variable is "z" and not "v". But this is obvious a typo, so it does not influence my rating.

27 Aug 2013 K-medoids K-medoids clustering algorithm Author: Mo Chen

Very compact and efficient coding. Nice job!
However, there is an error when k=1. I suggest to add the third parameter (dimension) to the calls of function min:
(Line 8): [~, label] = min(D(randsample(n,k),:),[],1);
(Line 11): [~, label] = [~, index] = min(D*sparse(1:n,label,1,n,k,n),[],1);

07 Aug 2013 Hausdorff Distance Calculates the Hausdorff Distance between two sets of points in a Euclidean metric space. Author: Zachary Danziger

11 Jun 2013 CVAP: Cluster Validity Analysis Platform (cluster analysis and validation tool) supplying over 17 validity indices and 5 clustering algorithms based on GUI Author: Kaijun Wang

Many thanks to the author for his valuable and useful contribution. However, I think there is a bug in the implementation of the Dunn's index.

I have compared results from CVAP with the Julian Ramos' implementation (http://www.mathworks.com/matlabcentral/fileexchange/27859) and also with R package clValid. Output values from clValid and Ramos' code are identical, whereas the CVAP results are not in an agreement with them. I think there are errors in computing the diameter of clusters and the shortest distance between clusters (function 'valid_sumsqures'). Please, consider revising this part of code.

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