ANGULAR K-MEANS FOR TEXT MINING
    1.
    发明申请

    公开(公告)号:US20190080001A1

    公开(公告)日:2019-03-14

    申请号:US15699236

    申请日:2017-09-08

    Inventor: Piotr Tylenda

    Abstract: An embodiment of a semiconductor package apparatus may include a substrate, and logic coupled to the substrate, wherein the logic is at least partly implemented in one or more of configurable logic and fixed-functionality hardware logic, the logic coupled to the substrate to determine an angular distance between a data object and a group of data objects, and assign the data object to the group of data objects based on the determined angular distance. In some embodiments, the logic may also be to determine one or more of an upper bound and a lower bound for the group of data objects based on triangle inequality. Other embodiments are disclosed and claimed.

    TARGET NUMBER OF CLUSTERS BASED ON INTERNAL INDEX FIBONACCI SEARCH

    公开(公告)号:US20190065577A1

    公开(公告)日:2019-02-28

    申请号:US15691807

    申请日:2017-08-31

    Inventor: Piotr Tylenda

    Abstract: Systems, methods and apparatuses may include technology to group data objects of a dataset into first and second groups respectively based on a first and second number of clusters for a search of the dataset, evaluate the first and second groups to determine respective first and second cluster validation indexes, and adjust one or more of the first and second number of clusters based on the first and second cluster validation indexes.

    Angular k-means for text mining
    5.
    发明授权

    公开(公告)号:US11030231B2

    公开(公告)日:2021-06-08

    申请号:US15699236

    申请日:2017-09-08

    Inventor: Piotr Tylenda

    Abstract: An embodiment of a semiconductor package apparatus may include a substrate, and logic coupled to the substrate, wherein the logic is at least partly implemented in one or more of configurable logic and fixed-functionality hardware logic, the logic coupled to the substrate to determine an angular distance between a data object and a group of data objects, and assign the data object to the group of data objects based on the determined angular distance. In some embodiments, the logic may also be to determine one or more of an upper bound and a lower bound for the group of data objects based on triangle inequality. Other embodiments are disclosed and claimed.

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