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Just like EM of Gaussian Mixture Model, this is the EM algorithm for fitting Bernoulli Mixture Model. GMM is useful for clustering real value data. However, for binary data (such as bag of word feature) Bernoulli Mixture
Date : 2025-05-14 Size : 3kb User : lin

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Learning methods for Bayesian Networks and statistical tools
Date : 2025-05-14 Size : 2.02mb User : lin

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Take categorical data matrix and transform whole matrix to binary sparse 1ofM matrix, keeping track of what came where. Ideal for any form of count-based probabilistic analysis.
Date : 2025-05-14 Size : 2kb User : lin

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text mining using R programming
Date : 2025-05-14 Size : 2kb User : syed

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google analytics in R programming
Date : 2025-05-14 Size : 1kb User : syed

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implementation of wordcloud
Date : 2025-05-14 Size : 1kb User : syed

Data Mining process model selected is KDD which starts selection of data.Initially the researcher has taken the Kddcup.data-10-perecnt which contains total of 311,027 records which includes both labeled and unlabeled rec
Date : 2025-05-14 Size : 2.53mb User : darmaan

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Initialization Algorithm for k-means
Date : 2025-05-14 Size : 273kb User : Mohammed

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State vector machine with single class output. The code works on 32 bit numbers in IEEE 754 floating point format for single precision numbers.
Date : 2025-05-14 Size : 1.75mb User : RP17

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RankSvm: realized RankSvm, use blas dependent libraries
Date : 2025-05-14 Size : 55kb User : Wang Shupeng

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This a simple test knn algorithm code, for beginners to learn and understand knn algorithm
Date : 2025-05-14 Size : 2kb User : 杜凡

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K-means clustering algorithm C++ implementation
Date : 2025-05-14 Size : 2.32mb User : 封昊
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