Gallery examples: Scalable learning with polynomial kernel approximation Compare the effect of different scalers on data with outliers Clustering text documents using k-means| scikit-learn
Gallery examples: Out-of-core classification of text documents Clustering text documents using k-means FeatureHasher and DictVectorizer Comparison| scikit-learn
Gallery examples: Hashing feature transformation using Totally Random Trees Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Clustering text documents using k-means| scikit-learn
Gallery examples: Biclustering documents with the Spectral Co-clustering algorithm Compare BIRCH and MiniBatchKMeans Comparing different clustering algorithms on toy datasets Online learning of a d...| scikit-learn
In this example we illustrate text vectorization, which is the process of representing non-numerical input data (such as dictionaries or text documents) as vectors of real numbers. We first compare...| scikit-learn
This is an example showing how scikit-learn can be used to classify documents by topics using a Bag of Words approach. This example uses a Tf-idf-weighted document-term sparse matrix to encode the ...| scikit-learn
Find the unique elements of an array.| numpy.org
Gallery examples: Time-related feature engineering Plot classification probability Classifier comparison A demo of K-Means clustering on the handwritten digits data Principal Component Regression v...| scikit-learn
Gallery examples: Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation Biclustering documents with the Spectral Co-clustering algorithm Column Transformer with He...| scikit-learn
Gallery examples: Bisecting K-Means and Regular K-Means Performance Comparison Demonstration of k-means assumptions A demo of K-Means clustering on the handwritten digits data Selecting the number ...| scikit-learn
This module provides various time-related functions. For related functionality, see also the datetime and calendar modules. Although this module is always available, not all functions are available...| Python documentation