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Similar figures. In Euclidean geometry, two objects are similar if they have the same shape, or if one has the same shape as the mirror image of the other.More precisely, one can be obtained from the other by uniformly scaling (enlarging or reducing), possibly with additional translation, rotation and reflection.
Peitgen et al. explain the concept as such: If parts of a figure are small replicas of the whole, then the figure is called self-similar....A figure is strictly self-similar if the figure can be decomposed into parts which are exact replicas of the whole. Any arbitrary part contains an exact replica of the whole figure.
Similarity comes in degrees: e.g. oranges are more similar to apples than to the moon. It is traditionally seen as an internal relation and analyzed in terms of shared properties: two things are similar because they have a property in common. [1] The more properties they share, the more similar they are.
To compare things, they must have characteristics that are similar enough in relevant ways to merit comparison. If two things are too different to compare in a useful way, an attempt to compare them is colloquially referred to in English as "comparing apples and oranges." Comparison is widely used in society, in science and the arts.
The truth is, people in the past were, well, people, just like us, which means that history can often be a lot more approachable, if you learn it the right way.
These findings explain that individuals are more likely to be attracted to those who they perceive to share similar activities with such as occupation and hobbies. [8] Propinquity also explains the relationship between liking and activities, those with similar interests tend to put themselves into similar types of settings increasing their ...
That forecast and similar projections help explain why these companies are now valued in the $5 billion-$7 billion range, even with virtually no revenue and an unproven technology.
When AI systems explain their thinking in plain English, it might look like they're faithfully showing their work. But some experts aren't sure if these explanations actually reveal how the AI ...