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#!/usr/bin/python | |
# | |
# K-means clustering using Lloyd's algorithm in pure Python. | |
# Written by Lars Buitinck. This code is in the public domain. | |
# | |
# The main program runs the clustering algorithm on a bunch of text documents | |
# specified as command-line arguments. These documents are first converted to | |
# sparse vectors, represented as lists of (index, value) pairs. | |
from collections import defaultdict |
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#! /usr/bin/env python | |
####################################### | |
# GDALCalcNDVI.py | |
# | |
# A script using the GDAL Library to | |
# create a new image containing the LST | |
# of the original DN value from Landsat | |
# 5 or 7 imagery. | |
# |