Data compression is very useful technique for storing large amount of data which is used as training set for solving Machine Learning algorithm.Data Compression is a process of modify or converting the bits structure of data in such a way that it consumes less space on disk.
PRINCIPAL COMPONENT ANALYSIS(PCA)
This is used to reduce the 2-Dimensional training set example into 1-Dimensional:-Find a direction onto which to project the data.So, as to minimize the projection error.
Reduce from n-Dimension to k-Dimension:-Find k vectors u(1),u(2),…….,u(n) onto which to project the data. So as to minimize the projection error.
PCA ALGORITHM
In the next article, we will discus about the Anomaly Detection.
The Thesis Whisperer 