Question: Use python Problem 1: (PCA on Olivetti dataset) Load the Olivetti face images dataset from sklearn. (sklearn.datasets.fetch_olivetti_faces). Vectorize the images and apply PCA. Plot the

Use python Problem 1: (PCA on Olivetti dataset) Load the Olivetti

Use python

Problem 1: (PCA on Olivetti dataset) Load the Olivetti face images dataset from sklearn. (sklearn.datasets.fetch_olivetti_faces). Vectorize the images and apply PCA. Plot the eigenvalues. Display the mean image and first 20 principal components. Represent a face image using different numbers of principal components (say, 5, 10,40, 200) and compare the representations with the original image. Use scatter plot to represent all images on a 3D space using the first 3 principal components. Problem 2: (PCA exercise) We have the following the training samples: {(2,1), (2,28.(3,2), (3,3), (4,1),(6,57. (7,4. (7,5). (8,5), (8,6). (7,71). (a) Use PCA to find the principal components (eigenvectors) and the eigenvalues. (b) Project all the samples on to the first principal component, and calculate the variance. (c) Project all the samples on to the second principal component, and calculate the variance

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related Databases Questions!

use python Problem 1: (PCA on Olivetti dataset) Load the Olivetti face images dataset from sklearn. (sklearn.datasets.fetch_olivetti_faces). Vectorize the images and apply PCA Plot the eigenvalues....

Please Python Code!!!! Problem 1: (PCA on Olivetti dataset) Load the Olivetti face images dataset from sklearn. (sklearn.datasets.fetch_olivetti_faces). Vectorize the images and apply PCA. Plot the...

PCA on Olivetti dataset Load the Olivetti face images dataset from sklearn. (sklearn.datasets.fetch_olivetti_faces). Vectorize the images and apply PCA. Plot the eigenvalues. Display the mean image...

Training Datat Please code each answer in python The training dataset for this problem corresponds to the images of handwritten digits '0' and '1' that come prepackaged with the sklearn package....

Code: Nearest neighbor for handwritten digit recognition In this notebook we will build a classifier that takes an image of a handwritten digit and outputs a label 0-9. We will look at a particularly...

#MachineLearning #PythonProgramming Please help. WILL UPVOTE! Please provide the Python Code for the question above! Use the dataset Olivetti Faces from Scikit Learn 1. In this problem we will look...

use python Problem 2: (PCA exercise) We have the following the training samples: {(2,17.(2,2), (3,2). (3,31.(4,1),(6,5Y. (7,47. (7,5), (8,5), (8,67.17.71 (a) Use PCA to find the principal components...

Please use Python Problem 1: 1.a Create a While loop to convert the following temperatures from Fahrenheit to Celsius Temp = [70, 75, 80, 85, 90, 95, 100, 105, 110, 115] Formula: c = (f-32) * (5/9)...

part a do by hand part b is the the program this is bery confusing to me and this is all the information the problem should be easy i just want to double check myself " use python" Problem 1: The...

use python Problem 1. Write a Python function trapezoidal Rule (func, a, b, *P) to compute the definite integral of the given function func between the given limits a and b. Use this function to...

If a negative charge is initially at rest in an electric field, will it move toward a region of higher potential or lower potential? What about a positive charge? How does the potential? What about a...

On January 1, 2014, Dixon Corporation had the following stockholders equity accounts. Common Stock ($4 par value, 250,000 shares issued and outstanding) .....$1,000,000 Paid-in Capital in Excess of...

1 6 kl The discount rates look better when displayed with percent symbols and centered because the rates are all two - digits. + Format the range G 5 : 1 0 as Percent Style and center the data...

Compared with half a century ago, adoption has become _ _ _ _ _ _ _ _ _ common, but it is more open and acceptabl e , so we probably discuss it _ _ _ _ _ _ _ . fill in the blanks more or much less or...

5. Would you prefer a job that a. is pretty much the same from day to day? b. changes constantly? _______

3. In terms of your career, do you think you are or will mostly be a. fixed in place? b. always moving? _______

9. In terms of style, are you a. solid and mainstream? b. always on the cutting edge? _______