One of the most often used methods of linear dimension reduction is principal component analysis (PCA). It can be used both on its own and as a starting point for further dimension reduction techniques.
By projecting the data onto a set of orthogonal axes, the projection-based PCA approach changes the data. An unsupervised linear transformation method known as Principal Component Analysis (PCA) is frequently utilized in a variety of domains, most notably for feature extraction and dimensionality reduction. Data compression, made possible by dimensionality reduction, results in less storage space being used. It speeds up computation. It also aids in removing any extraneous features. Since PCA is a variance-maximizing activity, normalization is crucial. our original data is projected in a manner that maximizes variance.
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Being kind to others makes a significant impact on your life and the people you are being kind towards. Kindness puts a smile on other peoples faces, and the world without it would be very different. Even though their are a lot of people who are not kind throughout this world, if kindness was outlawed, their would still be a significant impact on our earth as it is today. For example, it would change the way people do business and it would be much harder to socialize. Kindness is way more important than we make it out to be. Their is always an opportunity to be kind wherever you are. Whether you’re online, next to someone, or just walking down a street, you can always find a chance to be kind if you really try.
office 2013 can intergrute directly with the cloud
Answer:
the answer is CPU BOUND Hope it helps
Explanation:
get it right on my test XD