After completing a linear discriminant analysis in R using lda(), is there a convenient way to extract the classification functions for each group?
Got an asynchronous stream of events, where each event has information like - Agency (one of many Agencies possible to be served by my solution)
Icalculate the TFIdf(term frequency,inverse document frequency) and i have seen that after this step it is necessary to reduce the dimension of My Matrix withusingmethods like LSI ,chi -square test...
Questions I want to classify/categorize/cluster/group together a set of several thousand websites. There\'s data that we can train on, so we can do supervised learning, but it\'s not data that we\'ve
I heard that Google hosted (or will host) a web classification competition and they provided a large (170k+ d开发者_如何学运维ocuments) dataset of web sites that were classified into multiple categori
I have a feature set of 500 of the most frequently occuring uni-grams from a corpus of emails. I have been using this to classify e开发者_C百科mails using c5.0 based on the occurence/absence of each o
I have two classes of data which are plotted in 2D and I w开发者_运维知识库ish to plot the nearest-neighbours decision boundary for a given value of k.
I want to perform a classification task in which I map a given image of an object to one of a list of predefined constellations that object can be in (i.e. find the most probable match).
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references,or expertise, but this question will likely solicit debate, a
Let\'s say, I\'ve build a model (e.g. J4.8 tree) and evaluated it with cross-validation. How can I use this model to classify new dataset? I know, I can set a file with the data to classify with \"Sup
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