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#-*- coding:utf-8 - *- | |
def load_dataset(): | |
"Load the sample dataset." | |
return [[1, 3, 4], [2, 3, 5], [1, 2, 3, 5], [2, 5]] | |
def createC1(dataset): | |
"Create a list of candidate item sets of size one." |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<title>Box Shadow</title> | |
<style> | |
.box { | |
height: 150px; | |
width: 300px; | |
margin: 20px; |
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""" | |
Hilbert matrix using numpy. Contains: | |
- hilb(n, m) : returns the Hilbert matrix of size (n, m) | |
- invhilb(n) : returns the inverse of the Hilbert matrix of size (n, n) | |
""" | |
import numpy as np | |
from math import factorial |
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