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  2. DBSCAN - Wikipedia

    en.wikipedia.org/wiki/DBSCAN

    DBSCAN* [6] [7] is a variation that treats border points as noise, and this way achieves a fully deterministic result as well as a more consistent statistical interpretation of density-connected components. The quality of DBSCAN depends on the distance measure used in the function regionQuery(P,ε).

  3. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  4. OPTICS algorithm - Wikipedia

    en.wikipedia.org/wiki/OPTICS_algorithm

    The R package "dbscan" includes a C++ implementation of OPTICS (with both traditional dbscan-like and ξ cluster extraction) using a k-d tree for index acceleration for Euclidean distance only. Python implementations of OPTICS are available in the PyClustering library and in scikit-learn. HDBSCAN* is available in the hdbscan library.

  5. Determining the number of clusters in a data set - Wikipedia

    en.wikipedia.org/wiki/Determining_the_number_of...

    The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]

  6. Trump says he will attend Jimmy Carter's funeral amid history ...

    www.aol.com/trump-says-attend-jimmy-carters...

    President-elect Donald Trump said this week he plans to attend former President Jimmy Carter's funeral following a history of mutual criticism. Carter, who died on Dec. 29 at the age of 100, will ...

  7. Local outlier factor - Wikipedia

    en.wikipedia.org/wiki/Local_outlier_factor

    For example, a point at a "small" distance to a very dense cluster is an outlier, while a point within a sparse cluster might exhibit similar distances to its neighbors. While the geometric intuition of LOF is only applicable to low-dimensional vector spaces, the algorithm can be applied in any context a dissimilarity function can be defined.

  8. The Pioneer Woman's 10 Most Popular Desserts of 2024 - AOL

    www.aol.com/pioneer-womans-10-most-popular...

    Blackberry Cobbler. Fruit desserts for the win! This seasonal treat is chock-full of juicy blackberries baked into a tender cakey base. When paired with a scoop of vanilla ice cream, it's the ...

  9. Weather to keep planes carrying protest banners away from ...

    www.aol.com/sports/weather-keep-planes-carrying...

    The skies above MetLife Stadium may feature clouds and rain for Sunday's New York Giants home finale against the Indianapolis Colts — they won't, however, have any planes carrying protest banners.