Proper body mechanics involve effective:

If it were discovered that there are definite harmful biologic effects associated with the use of diagnostic ultrasound, which statement would be the most reasonable expectation?

The feelings of discomfort, stress, and sometimes inferiority that a person experiences when placed in a different culture is known as which?

Ergonomic injuries often result from improper:

Which statement best describes the purpose of the slope of the TGC curve?

A patient with an accessory spleen will most likely present with which symptom?

In this problem, we have sketched up the code for the K-Means Clustering algorithm. Please choose options to fill in the blanks. import numpy as np import matplotlib.pyplot as plt def kmeans(X,K,iteration):     N = len(X) # Number of data points     labels = np.zeros((N,1)) # Cluster labels for each data point     centroids = np.zeros((K,X.shape[1])) # Centroid of each cluster     # Innitialize: Randomly assign a number C(i) in (1,…,K) to each index i = 1…N     for i in range(len(labels)):         labels[i] = np.random.randint(0,K)             for iteration in range(iteration):          # Compute the centroid of cluster K         for k in range(K):             dp = X[np.where(labels == k)[0]]             centroids[k] = _________(1)___________                     # Assign observation n to the cluster with closest centroid         for n in range(N):             distance = np.linalg.norm(X[n]-centroids,axis=1)             labels[n] = _________(2)___________                 # Compute the distance between each data point and their centroids     within_cluster_distance = 0     for m in range(N):         within_cluster_distance += _________(3)___________             return within_cluster_distance     k_list = [] for i in range(1,10):     k_list.append(kmeans(X1,i,10))     x = np.arange(1,10) plt.plot(x,k_list) plt.xlabel(‘K’) plt.ylabel(‘Within Cluster Distance’) plt.show() The format of input $$X$$ is shown below: What should go in the second blank(2)?

Match the following drugs with their classes below. Each answer can be used more than once or not at all:   

Section 11. Hierarchical Clustering (Questions 46-48) In this problem, you will run a couple iterations of the hierarchical clustering algorithm in the two-dimensional dataset in the figure below (top subfigure).   Using the Dendrograms 1, 2, and 3 for future reference (bottom subfigures), answer the questions below: Using the single-cluster distance, which one of the following dendrograms would be the output of the hierarchical clustering algorithm?

Consider a dataset with points and two classes (red and blue) indicated in the figure below. (Note that (0, 0) and (1, 1) are blue points whereas (1, 0) and (0, 1) are red points).   Which one of the following equations represents a separating hyperplane for the lifted three-dimensional dataset?