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def normalize(df): | |
""" | |
Function for min-max Scaling a pandas DataFrame | |
@param: | |
Takes a pandas DataFrame: df | |
Returns: a normalized DataFrame | |
along with a dict containing rescaling | |
coef which can be used in below function. | |
""" | |
result = df.copy() |
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############################################################################# | |
# Full Imports | |
from __future__ import division | |
import math | |
import random | |
""" | |
This is a pure Python implementation of the K-means Clustering algorithmn. The | |
original can be found here: |
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#!/usr/bin/python | |
# | |
# LICENSE: MIT | |
# | |
# Copyright (C) 2014 Samuel Stauffer | |
# | |
# 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 |