Many data analysis software packages provide for feature extraction and dimension reduction. Common numerical programming environments such as MATLAB, SciLab, NumPy and the R language provide some of the simpler feature extraction techniques (e.g. principal component analysis) via built-in commands. More specific algorithms are often available as publicly available scripts or third-party add-ons.
you can begin your education at : https://en.wikipedia.org/wiki/Feature_extraction
Add to My Watchlist
What is My Watchlist?
 (20min delay)
|
|||||
|
Last
20.3¢ |
Change
0.008(3.85%) |
Mkt cap ! $405.0M | |||
| Open | High | Low | Value | Volume |
| 19.5¢ | 20.5¢ | 19.0¢ | $1.311M | 6.666M |
Buyers (Bids)
| No. | Vol. | Price($) |
|---|---|---|
| 10 | 207449 | 20.0¢ |
Sellers (Offers)
| Price($) | Vol. | No. |
|---|---|---|
| 20.5¢ | 1867031 | 36 |
View Market Depth
| Last trade - 12.32pm 08/07/2025 (20 minute delay) ? |
| BRN (ASX) Chart |