Unverified50% confidenceFactExact time
The space complexity of building an n×n similarity matrix in spectral clustering is O(n²).
1
Sources
50%
Confidence
Long-term
Relevance
9/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCausal 1D convolution restricts the convolution to access only the current and previous inputs through left-side zero-padding, with a computational complexity of O(N×k), where k is a fixed kernel size, resulting in overall linear complexity.73% similarUnverified二维数组访问任意位置的时间复杂度为O(1)73% similarUnverified一维情况下Wasserstein距离有闭式解，只需排序即可，复杂度为O(n log n)70% similarUnverifiedJohnson-Lindenstrauss引理指出在n维空间中可以找到指数级于n的近似正交向量集合66% similarUnverifiedThe series follows the general formula n^n + (n-1).65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/930683API
curl https://kongchang.com/api/v1/knowledge/claims/930683MCP
get_claim(id=930683)