Basic concepts

Play around with

Learn more basics

Apply learned concepts

Learn new concepts

Learn new concepts

Information

Wikipedia

the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known.

Education

Online Course

Principles of popular algorithms

Information

Wikipedia

k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster

Application

Software

Open source, java, tools for data pre-processing, classification, regression, clustering, association rules, visualization

University of Waikato

Application

Other

Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

User guide, tutorials

Data Analysis Machine Learning

Information

Wikipedia

task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters)

Unsupervised Learning Data Analysis

Education

Literature

Morgan Kaufmann Publishers

Jiawei Han, Micheline Kamber, Jian Pei

Education

Literature

Springer Verlag

Martin Ester J?rg Sander

Education

Literature

O'Reilly Media

Foster Provost Tom Fawcett

Open source, java, tools for data pre-processing, classification, regression, clustering, association rules, visualization

*Upvote*
*
*

Principles of popular algorithms

*Upvote*
*
*

*Upvote*
*
*

*Upvote*
*
*

*Upvote*
*
*

Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

*Upvote*
*
*

the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known.

*Upvote*
*
*

k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster

*Upvote*
*
*

task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters)

*Upvote*
*
*

Open source, java, tools for data pre-processing, classification, regression, clustering, association rules, visualization

*Upvote*
*
*

Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

*Upvote*
*
*

Principles of popular algorithms

*Upvote*
*
*

*Upvote*
*
*

*Upvote*
*
*

*Upvote*
*
*