Shulou(Shulou.com)05/31 Report--

This article gives you an analysis of "example Analysis of the mahout algorithm set". The content is detailed and easy to understand. Friends who are interested in the example analysis of the mahout algorithm set can follow the editor's idea to read it slowly and deeply. I hope it will be helpful to everyone after reading. Let's follow the editor to learn more about the example analysis of the mahout algorithm set.

Algorithm class

Algorithm name

Chinese name

Classification algorithm

Logistic Regression

Logical regression

Bayesian

Bayes

SVM

Support vector machine

Perceptron

Perceptron algorithm

Neural Network

Neural network

Random Forests

Random forest

Restricted Boltzmann Machines

Finite Boltzmann machine

Clustering algorithm

Canopy Clustering

Canopy clustering

K-means Clustering

K-means algorithm

Fuzzy K-means

Fuzzy K-means

Expectation Maximization

EM clustering (expectation maximization clustering)

Mean Shift Clustering

Mean shift clustering

Hierarchical Clustering

Hierarchical clustering

Dirichlet Process Clustering

Dirichlet process clustering

Latent Dirichlet Allocation

LDA clustering

Spectral Clustering

Spectral clustering

Association rule mining

Parallel FP Growth Algorithm

Parallel FP Growth algorithm

Regress

Locally Weighted Linear Regression

Locally weighted linear regression

Dimension reduction / dimension reduction

Singular Value Decomposition

Singular value decomposition

Principal Components Analysis

Principal component analysis

Independent Component Analysis

Independent component analysis

Gaussian Discriminative Analysis

Gaussian discriminant analysis

Evolutionary algorithm

Parallelizes the Watchmaker framework

Recommendation / collaborative filtering

Non-distributed recommenders

Taste (UserCF, ItemCF, SlopeOne)

Distributed Recommenders

ItemCF

Vector similarity calculation

RowSimilarityJob

Calculate the similarity between columns

VectorDistanceJob

Calculate the distance between vectors

Non-Map-Reduce algorithm

Hidden Markov Models

Hidden Markov model

Set method extension

Collections

Extends the Collections class of java

Common clustering algorithms of Mahout

Algorithms

In-memory implementation

MapReduce implementation

Fixed clusters

Partial membership

K-Means

KMeansClusterer

KMeansDriver

Y

N

Canopy

CanopyClusterer

CanopyDriver

N

N

Fuzzy K-Means

FuzzyKMeansClusterer

FuzzyKMeansDriver

Y

Y

Dirichlet

DirichletClusterer

DirichletDriver

N

Y

LDA

N/A

LDADriver

Y

Y

This is the end of the sample analysis of the mahout algorithm set. I hope the above content can improve everyone. If you want to learn more knowledge, please pay more attention to the editor's updates. Thank you for following the website!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.