I\'m trying to understand fuzzy k-modes algorithm (look mainly at page 3) in order to implement it. I\'m stuck at the calculation of cluster centers they said as shown in the pic
If we have a set of M words, and know the similarity of the meaning of each pair of words in advance (have a M x M matrix of similarities), which algorithm ca开发者_JAVA百科n we use to make one k-dime
I\'m trying to cluster some data I have from the KDD 1999 cup dataset the output from the file looks like this:
Can the fuzzy c-means applied on non numerical data sets ? i.e categorical or mixed numerical and categorical..
I\'m writting a piece of code to evaluate my Clustering Algorithm and I find that every kind of evaluatio开发者_运维问答n method needs the basic data from a m*n matrix like A = {aij} where aij is the
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So I\'m gonna do a historical trends analysis for one of my education literature review class. I\'m considering use the abstracts and keywords from the peer-reviewed journals since 1970s, I know Sprin
Hi I have some data thats represented like this: 0,tcp,http,SF,239,486,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,8,8,0.00,0.00,0.00,0.00,1.00,0.00,0.00,19,19,1.00,0.00,0.05,0.00,0.00,0.00,0.00,0.00,normal.
Star schema consists of dimension and fact tables. Fact tables contain foreign keys for each dimension and in additio开发者_如何学JAVAn to that, it contains \"measures\". What exactly comprises of th
I have two databases with identical table layouts. There are a dozen or so tables of interest. They are a number of FK between them.
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