Find the K Closest Points to a Query Location
Last updated: August 16, 2026
Quick Overview
The question asks you to find the K closest points to a given query location from a set of points in a 2D space.
Uber
August 16, 20263
0
29 solved
The question asks you to find the K closest points to a given query location from a set of points in a 2D space.
This question is typically asked during the onsite interview round for software engineering roles at Uber. The interviewer is evaluating the candidate's problem-solving skills, ability to optimize algorithms, and understanding of data structures. Given the fast-paced nature of the interview, candidates are expected to quickly devise a solution and then discuss potential optimizations and edge cases.
What the Interviewer Expects
- Clearly explain the approach to find the K closest points.
- Use appropriate data structures to optimize the solution.
- Discuss the time and space complexity of the chosen algorithm.
- Handle edge cases and discuss potential optimizations.
- Provide a working code implementation in Python.
Key Topics to Cover
How to Approach This
- Clarify input constraints and edge cases before writing code.
- Walk through your approach verbally and confirm with the interviewer before coding.
- Start with a brute force solution, then optimize. Mention time and space complexity.
- Test your solution with examples, including edge cases like empty input or duplicates.
- Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
- How would you modify your solution for a dynamic set of points?
- What if the points were in a higher-dimensional space?
- Can you explain how your approach scales with larger datasets?
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Practice DSA ProblemsSample Answer
Approach
To find the K closest points to a query location, we can use a max-heap to keep track of the closest points as we iterate through the list of points. The distance can be calculated using the Euclidean...
Algorithm
- Initialize a max-heap to store the K closest points.
- Iterate through each point in the list:
- Calculate the squared distance from the query point.
- If the heap has fewer than K points, a...