[xpost from /r/algorithms] Clustering on non-numeric (categorical) data
Hi all!I am researching clustering algorithms for data that is not numeric. I am not at liberty to discuss exactly on what data I'm clustering (it's proprietary information), but I can give you an idea...
View ArticleHierarchical clustering of phrases in audio?
I'm analyzing audio segments in songs. I want to find phrases: groups of segments which may repeat several times in the song. I want to hierarchically group phrases of phrases.A segment is a slice of...
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How algorithms rule the world: the ubiquity of machine-learning
submitted by DevFRus [link][2 comments]
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Artificial Intelligence for Humans - Fundamental Algorithms [KickStarter]
submitted by 2W3 [link][3 comments]
View ArticleCame across something intriguing called Grey System Theory - anyone here...
You can read a few papers about it at Scholar GoogleHere's the paper introducing the theory.I'm baffled that something so promising could be so obscure (there's no article about it @ Wikipedia). Did...
View ArticleA series of blog posts about biclustering
This summer I am implementing biclustering algorithms for the scikit-learn machine learning library and blogging about my progress. I thought some people on /r/MachineLearning might find them useful.So...
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Basic [1 hidden layer] neural network in Python
submitted by turnersr [link][9 comments]
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NASA neural networks regain control in the case of aviation control failure....
submitted by genunix [link][2 comments]
View ArticleNotation question
I'm describing a model fitting procedure and using 'x' as a shorthand to denote a list of all the free model parameters. I want to clearly state the contents of x in a formal way rather than just list...
View ArticleI'm looking for sequential binary data for which the mutual information...
The data that I'm currently using is 1 bit sound, but it doesn't work because there are long stretches of either all 1's or all 0's, due to the frequencies being orders of magnitude lower than the...
View ArticleObtaining a bias in K-Means pretraining
So I've been playing around with pretraining with K-means. Usually if you go for autoencoders or RBM's you get a filter bank and a bias vector. But with K-means you just get the filter bank, right? I...
View ArticleClustering of distributions
Does anybody know of any methods or modifications of methods which could define clusters of multinomial distributions? For example, imagine developing a group of N race/ethnicity distributions based on...
View ArticleWould you use a LDA based Topic Modeling library in Java which handled a few...
I am running a prototype which I developed in Java to perform LDA on a few million documents in Java. I have personally found it very useful as most LDA implementations in Java or R or Python either...
View ArticleOpinion?: "A correlation for the 21st century"
Ref: http://www.sciencemag.org/content/334/6062/1502What does r/ML think about the MIC correlation-measure proposed in the article above? Digging deeper into what people are saying about the paper...
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A very gentle introduction to the concepts behind machine learning
submitted by saulsherry [link][6 comments]
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Big Dater: eHarmony Refines the Science of Love : Hadoop + Machine Learning
submitted by saulsherry [link][comment]
View ArticleImage features & supervised learning - removing meteoradar noise
I found interesting article about meteodata processing with neural network :http://blog.forecast.io/cleaning-radar-images-using-neural-nets-computer-vision/How those guys can filter noise ? I know many...
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Predicting Movement with IR Sensors, My Experience at the First NuPIC Hackathon
submitted by numenta [link][comment]
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