What is the phenomenon that many types of data analysis become significantly harder as the dimensionality of the data increases? a. The Curse of Dimensionality b. The Phenomenon of Reduction c. The Curse of Reduction d. The Phenomenon of Dimensionality

a. The Curse of Dimensionality

Step-by-step explanation:

The phenomenon that refers to this is known as the Curse of Dimensionality. This phenomenon is basically the specific complications that only occur when dealing with far larger data sets that contain various dimensions, while these complications do not exist in smaller and less complex data sets. The larger the data set tends to get, the more complications arise. This is usually solved with Dimensionality reduction which shrinks the data sets by targeting specifics of the data and separating it.

i think there was a typo. you wrote pat brings 3 quarts of ice-cream to the party. each serving of ice-cream is 1 6 quart. how many total servings of ice-cream does pat bring to the party? i think the bold is supposed to be 1/6. so 1 quart of ice cream = 6 servings. 6 * 3 = 18.

step-by-step explanation:

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