For greyscale image data where pixel values can be interpreted as degrees of blackness on a white background, like handwritten

This is an example showing how the scikit-learn can be used to classify documents by topics using a bag-of-words approach. This example

Performs a pixel-wise Vector Quantization (VQ) of an image of the summer palace (China), reducing the number of colors required to show the image from 96,615

The dataset used in this example is the 20 newsgroups dataset which will be automatically downloaded and then cached and reused for

The plots below illustrate the effect the parameter C has on the separation line. A large value of C basically tells our model that we do not have

Evaluate the ability of k-means initializations strategies to make the algorithm convergence robust as measured by the relative

An illustration of Swiss Roll reduction with locally linear embedding

This example shows the reconstruction of an image from a set of parallel projections, acquired along different angles. Such

This example simulates a multi-label document classification problem. The dataset is generated randomly based on the following process: pick

Example of Precision-Recall metric to evaluate classifier output quality. In information retrieval, precision is a measure of result relevancy, while recall is a measure