基于DBSCAN算法进行聚类

imports "clustering" from "MLkit";

require(graphics2D);

multishapes = read.csv("./multishapes.csv");
[x, y] = list(multishapes[, "x"], multishapes[, "y"]);
print(multishapes, max.print = 13);

# detect object shapes
objects = graphics2D::pointVector(multishapes[, "x"], multishapes[, "y"]) |> dbscan_objects();
objects[objects == "-1"] = "noise";
objects = ifelse(objects == "noise", objects, `object_${objects}`);

# show object detection result
bitmap(file = "./object_detection.png") {
    plot(multishapes[, "x"], multishapes[, "y"], 
        class     = objects, 
        grid.fill = "white",
        padding   = "padding: 125px 300px 200px 200px;",
        colorSet  = "paper"
    );
}

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谢桂纲

高级数据科学家 at 苏州帕诺米克

Working on Engineered bacteria CAD design on its genome from scratch. Writing scientific computing software for Tianhe & Sunway TaihuLight supercomputer. Do scientific computing programming in R/R# language, he is also the programming language designer of the R# language on the .NET runtime.

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