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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. 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.

  4. 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 ...

  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. College Football Playoff format: Bowl game times, dates and ...

    www.aol.com/college-football-playoff-format-bowl...

    The first round of the new 12-team CFP format, is set to kick off in less than two weeks on Dec. 20, with a primetime Friday night game. The first round continues with three crucial elimination ...

  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. Mortgage and refinance rates for Dec. 26, 2024: Rates for 30 ...

    www.aol.com/finance/mortgage-and-refinance-rates...

    The unemployment rate edged up moderately to 4.2% from October's 4.1%. ... This agreement is a new step designed to introduce transparency into the buyer's relationship with the agent, the agent's ...

  9. Is Retro Walking The Best Workout You’re Not Doing ... - AOL

    www.aol.com/retro-walking-best-workout-not...

    She recommends starting with the treadmill flat, walking at a pace of two miles per hour. Once you’re feeling good with that, gradually increase the pace in small increments up to three miles ...