题目内容
（请给出正确答案）
A.Regression
B.Cluster
C.WT
D.Manual
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更多“Which one is not the right way to handle noise data？”相关的问题
A、Aristocracy→ Working class→Middle class
B、Working class→Aristocracy→Middle class
C、Middle class→Working class→Aristocracy
D、Aristocracy→Middle class→Working class
A、Pets
B、Books
C、Trips
D、Dental appointment
A、Pedrito got into serious trouble missing the grammar quiz last Monday.
B、To complete the grammar quiz on time, you will have to click your heels three times.
C、When taking a grammar quiz, concentration is everything.
D、None of them.
A、Peanuts
B、Fish sauce
C、Lotus root
D、Eggs
A) Stronger at high temperatures than at low temperature.
B) Easy oxidation at high temperature
C) High specific strength
D) Good resistance to thermal shock.
A、ideal standard
B、attainable standard
C、current standard
D、basic standard
B．Culture is life way of a populatin, which characterizes the particular way of life of a population．
C．Culture is the deposit of knowledge,experience,beliefs, values and material objects acquired by a group of people
D．Culture is the total sum of material and spiritual wealth created by the mankind in the process of social and historical development．
A、Wavelet transforms store large fractions of the strongest of the wavelet coefficients.
B、Wavelet transforms are completely different from discrete Fourier transform (DFT).
C、Each transform has 2 functions: smoothing, difference.
D、Wavelet transforms means applying to pairs of data, resulting in two set of data of length L.
A、New feature space by PCA is constructed by choosing the most important features you think.
B、New feature space by PCA is constructed by normalizing input data.
C、New feature space by PCA is constructed by selecting features randomly.
D、New feature space by PCA is constructed by eliminating the weak components to reduce the size of the data.
A、Histogram analysis and Binging are both unsupervised methods.
B、Clustering analysis only belongs to top-down split.
C、Interval merging by c2 Analysis can be applied recursively.
D、Decision-tree analysis is Entropy-based discretization.
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