Suppose that the data mining task is to cluster points (with (x,y) representing location coordinates) into three clusters, where the points are A1(2,10), A2(8,4), A3(7,5), A4(1,2), A5 (2,5), A6(5,8), A7(6,4), A8(4,9). The distance function is Euclidean distance and k-means (with k=3) for clustering. Suppose initially we assign A1, A4, and A6 as the centroid for the three clusters. Show the three cluster centroids as well as a set of points in each cluster after each round until convergence.

apply perceptron algorithm to a data set by hand.

The source code should be in .ipynb format

Write an algorithm to take the average of only the even values in a dataset. Clearly specify the initialization, repeated steps, and output processing.

Did this answer all 3 parts above?

In a 384-well plate luciferase assay, we drugged 4 receptors (A, B, C, D) with their endogenous agonists at a range of doses. Below is a subset of the resulting data frame (please use the full data frame attached to the original email as a CSV file). Each row of this data frame corresponds to a single well of the 384 well plate. The columns are as follows: receptor: the receptor tested in the well agonist: the endogenous agonist used for a receptor agonist_nM: the dose of the endogenous compound (in nanomolar) ●くろまる RLU: raw luminescence of the well (our measure of receptor activity) To answer this 3 part question, we’ll ask you to submit a PDF file containing all of your source code, plots, and written interpretation. (Using something like a Jupyter Notebook with Python or Rmarkdown is recommended, but not required.) You should provide brief explanations of your thought process at each step. Part A: Different receptors have different basal rates of activity. To better facilitate...