idmn

library(NMF)
# random non-negative matrix
v <- rmatrix(20, 10)
# fit an NMF model
x <- nmf(v, 5)

# decomposition components
x@fit@W
x@fit@H

idmn

library(ggplot2)
library(dplyr)
library(ggbeeswarm)

cities <- c(
  "Portland", "New York City", "Chicago", "Detroit",
  "New Haven", "Boston", "Philadelphia", "St. Louis"
)

slice_data <- tibble(

idmn

import math
import random
import sys

# 2-D point with some helpful methods like addition of two points, multiplication by number,
#  distance to other point etc
class Point(object):

    def __init__(self, x=0, y=0):
        self.x = x