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
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21.8¢ |
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0.018(8.75%) |
Mkt cap ! $435.4M |
Open | High | Low | Value | Volume |
20.0¢ | 22.0¢ | 20.0¢ | $2.628M | 12.53M |
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No. | Vol. | Price($) |
---|---|---|
16 | 742513 | 21.5¢ |
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Price($) | Vol. | No. |
---|---|---|
22.0¢ | 3103476 | 74 |
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No. | Vol. | Price($) |
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40 | 792503 | 0.215 |
36 | 861933 | 0.210 |
22 | 833832 | 0.205 |
38 | 1980714 | 0.200 |
59 | 2484987 | 0.195 |
Price($) | Vol. | No. |
---|---|---|
0.220 | 3099641 | 71 |
0.225 | 635759 | 21 |
0.230 | 1143575 | 30 |
0.235 | 233157 | 12 |
0.240 | 113037 | 10 |
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