You created a model using k-means. You made a graph of a metric that you are using to determine the best number of clusters. Which option is a reasonable choice as a metric to use? Group of answer choices Sum of Square Error Precision Gaussian Difference Sigmoid

What is Choosing K The Elbow Method in Unsupervised Learning( Clustering)?

using python and machine learning (no code) Explain what lies in the term "straightened graph", and whether there are any limitations regarding how the edges can be straightened

Examine weighted graphs and adjacency lists' pros and cons.

Mark Zuckerberg, the CEO of Facebook, has hired you to lead the Facebook Algorithms Group. He has asked you to use various graph algorithms to analyze the world's largest social network. The Facebook Graph has 2.8 billion vertices, with each vertex being a Facebook user. Two vertices are connected provided those two users are "friends". The first decision you need to make is how you want to model the Facebook graph. Determine whether you should use an adjacency-list representation or an adjacency-matrix representation.

Q13: Using MATLAB Simulink to graph the following functions: 8 sin 0+2 sino -1

Please use Octave or Matlab - I use Octave so that is preferable

Solve using matlab