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That would be better than trying to categorize things solely based on the historical convenience of the US Postal Service. Myself, I might approach the problem
by fennecfoxen 15y ago
That would be better than trying to categorize things solely based on the historical convenience of the US Postal Service.
Myself, I might approach the problem the other way - trying to infer the existence of a neighborhood-like structure in terms of similar homes which are close to each other (apply clustering algorithms), and then measuring to what extent these structures overlap. This technique would hopefully place the 4th-and-King-at-Caltrain high-rise apartments and condos apart from the 19th-and-Arkansas single-family and converted-single-family homes.
- wtvanhest 15y agoAnother idea could be to just price individual homes based on last sale, then map that, than use an algorithm to guess neighborhoods on price per square foot? IDK. But it is interesting none the less.