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  2. Kernel density estimation - Wikipedia

    en.wikipedia.org/wiki/Kernel_density_estimation

    In Octave, kernel density estimation is implemented by the kernel_density option (econometrics package). In Origin, 2D kernel density plot can be made from its user interface, and two functions, Ksdensity for 1D and Ks2density for 2D can be used from its LabTalk, Python, or C code.

  3. Origin (data analysis software) - Wikipedia

    en.wikipedia.org/wiki/Origin_(data_analysis...

    Download QR code; Print/export ... Windows-like search from Start ... 2D kernel density plot and Python support. 2013/10 Origin 9.1 [7] SR0 added support for Piper ...

  4. Coot (software) - Wikipedia

    en.wikipedia.org/wiki/Coot_(software)

    Coot Ramachandran plot validation tool Coot density fit validation tool. In macromolecular crystallography, the observed data is often weak and the observation-to-parameter ratio near 1. As a result, it is possible to build an incorrect atomic model into the electron density in some cases. To avoid this, careful validation is required.

  5. Plotting algorithms for the Mandelbrot set - Wikipedia

    en.wikipedia.org/wiki/Plotting_algorithms_for...

    The top row is a series of plots using the escape time algorithm for 10000, 1000 and 100 maximum iterations per pixel respectively. The bottom row uses the same maximum iteration values but utilizes the histogram coloring method. Notice how little the coloring changes per different maximum iteration counts for the histogram coloring method plots.

  6. gnuplot - Wikipedia

    en.wikipedia.org/wiki/Gnuplot

    gnuplot is a command-line and GUI program that can generate two- and three-dimensional plots of functions, data, and data fits.The program runs on all major computers and operating systems (Linux, Unix, Microsoft Windows, macOS, FreeDOS, and many others). [3]

  7. Multivariate kernel density estimation - Wikipedia

    en.wikipedia.org/wiki/Multivariate_kernel...

    The code fragment computes the kernel density estimate with the plug-in bandwidth matrix ^ = []. Again, the coloured contours correspond to the smallest region which contains the respective probability mass: red = 25%, orange + red = 50%, yellow + orange + red = 75%.

  8. OPTICS algorithm - Wikipedia

    en.wikipedia.org/wiki/OPTICS_algorithm

    A range of the plot beginning with a steep descent and ending with a steep ascent is considered a valley, and corresponds to a contiguous area of high density. Additional care must be taken to the last points in a valley to assign them to the inner or outer cluster, this can be achieved by considering the predecessor. [4]

  9. Matplotlib - Wikipedia

    en.wikipedia.org/wiki/Matplotlib

    Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.