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  2. Correlation clustering - Wikipedia

    en.wikipedia.org/wiki/Correlation_clustering

    Different methods for correlation clustering of this type are discussed in [12] and the relationship to different types of clustering is discussed in. [13] See also Clustering high-dimensional data. Correlation clustering (according to this definition) can be shown to be closely related to biclustering. As in biclustering, the goal is to ...

  3. Cluster analysis - Wikipedia

    en.wikipedia.org/wiki/Cluster_analysis

    Download QR code; Print/export ... data compression, computer graphics and machine learning. Cluster analysis refers to a ... and correlation clustering (HiCO, [27 ...

  4. ELKI - Wikipedia

    en.wikipedia.org/wiki/ELKI

    Download QR code; Print/export ... was on subspace clustering and correlation clustering ... integrates various components for machine learning and data ...

  5. Automatic clustering algorithms - Wikipedia

    en.wikipedia.org/wiki/Automatic_Clustering...

    The density-based clustering algorithm uses autonomous machine learning that identifies patterns regarding geographical location and distance to a particular number of neighbors. It is considered autonomous because a priori knowledge on what is a cluster is not required. [ 9 ]

  6. k-means clustering - Wikipedia

    en.wikipedia.org/wiki/K-means_clustering

    Cluster analysis, a fundamental task in data mining and machine learning, involves grouping a set of data points into clusters based on their similarity. k -means clustering is a popular algorithm used for partitioning data into k clusters, where each cluster is represented by its centroid.

  7. Hans-Peter Kriegel - Wikipedia

    en.wikipedia.org/wiki/Hans-Peter_Kriegel

    His research is focused around correlation clustering, high-dimensional data indexing and analysis, spatial data mining and spatial data management as well as multimedia databases. His research group developed a software framework titled ELKI that is designed for the parallel research of index structures, data mining algorithms and their ...

  8. Weighted correlation network analysis - Wikipedia

    en.wikipedia.org/wiki/Weighted_correlation...

    Weighted correlation networks facilitate a geometric interpretation based on the angular interpretation of the correlation, chapter 6 in. [4] Resulting network statistics can be used to enhance standard data-mining methods such as cluster analysis since (dis)-similarity measures can often be transformed into weighted networks; [5] see chapter 6 ...

  9. Arthur Zimek - Wikipedia

    en.wikipedia.org/wiki/Arthur_Zimek

    Arthur Zimek is a professor in data mining, data science and machine learning at the University of Southern Denmark in Odense, Denmark.. He graduated from the Ludwig Maximilian University of Munich in Munich, Germany, where he worked with Prof. Hans-Peter Kriegel. [1]