This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# The MIT License (MIT) | |
# | |
# Copyright (c) Alex H. Williams | |
# | |
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation | |
# files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, | |
# modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the | |
# Software is furnished to do so, subject to the following conditions: | |
# | |
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
""" | |
Implementation of 'Maximum Likelihood Estimation of Intrinsic Dimension' by Elizaveta Levina and Peter J. Bickel | |
how to use | |
---------- | |
The goal is to estimate intrinsic dimensionality of data, the estimation of dimensionality is scale dependent | |
(depending on how much you zoom into the data distribution you can find different dimesionality), so they | |
propose to average it over different scales, the interval of the scales [k1, k2] are the only parameters of the algorithm. |