Showing 4 open source projects for "cluster"

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    Elasticsearch Node.js client

    Elasticsearch Node.js client

    Elasticsearch client library for Node.js

    Node.js client for Elasticsearch. The client versioning follows the Elastic Stack versioning, this means that major, minor, and patch releases are done following a precise schedule that often does not coincide with the Node.js release times. Language clients are forward compatible; meaning that clients support communicating with greater or equal minor versions of Elasticsearch. Elasticsearch language clients are only backwards compatible with default distributions and without guarantees...
    Downloads: 2 This Week
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  • 2
    GEOMS2

    GEOMS2

    Geostatistics and geosciences modeling software

    GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum...
    Downloads: 8 This Week
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  • 3

    Planar Roof Top Detection in LiDAR

    This tool detects and classifies roof tops from raw spatial LiDAR

    A new algorithm for extracting roof tops was developed. Using the assumption that roof tops are planar in construction, a new approach was developed using volume of point clouds to determine whether a cluster contains planar points. This approach yields very promising results and with attention applied to its weaknesses, should provide another algorithm which can rival currently available roof top detection methods.
    Downloads: 0 This Week
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  • 4
    The CHIP Cluster Generator attempts to create spatio-temporal cluster data in an automated fashion to help evaluate epidemic detection software. The spatio-temporal data will then be used to determine robustness of spatial detection algorithms.
    Downloads: 0 This Week
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