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Which can be used as an alternative for histogram for PCA?

Which can be used as an alternative for histogram for PCA? Correct Answer Stem-and-Leaf Plot

Stem-and-leaf plots can be used alternatively for the process capability analysis, instead of using the histogram plots. It needs almost more than 100 observations.

Related Questions

A high contrast image and a dark image will have what kind of histogram respectively, when the histogram, h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is plotted nk versus rk? The histogram that are concentrated on the dark side of gray scale. The histogram whose component are biased toward high side of gray scale. The histogram that is narrow and centered toward the middle of gray scale. The histogram that covers wide range of gray scale and the distribution of pixel is approximately uniform.
The most popularly used dimensionality reduction algorithm is Principal Component Analysis (PCA). Which of the following is/are true about PCA?
1. PCA is an unsupervised method
2. It searches for the directions that data have the largest variance
3. Maximum number of principal components 4. All principal components are orthogonal to each other
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On January 3, 2018, RBI initiated ‘PCA’ against the Allahabad Bank. How many public sector banks have been covered under ‘PCA’?
When in PCA, we have only the sample unit of product without any direct observation of the process or the time history of the production, the PCA is also called ____________
On January 3, 2018, RBI initiated PCA against the Allahabad Bank. How many public sector banks have been covered under PCA?
If h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is a histogram in gray level range . Then how can we normalize a histogram?
Consider the following statements in respect of a histogram: 1. The total area of the rectangles in a histogram is equal to the total area bounded by the corresponding frequency polygon and the x-axis. 2. When class intervals are unequal in a frequency distribution, the area of the rectangle is proportional to the frequency. Which of the above statements is/are correct?