apachecn / apachecn/sklearn-doc-zh
2.3.2. K-means： 流行 -> 流形？
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Description
惯性假设簇是凸(convex)的和各项同性(isotropic)，这并不是总是对的。它对 细长的簇或具有不规则形状的流行反应不佳。
并行化(Parallelization)通常以内存的代价(cost of memory)加速计算（在这种情况下，需要存储多个质心副本，每个作业(job)使用一个副本）。
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并行化(Parallelization)通常以内存为代价(cost of memory)来加速计算（在这种情况下，需要存储多个质心副本，每个作业(job)使用一个副本）。
Contributor guide
Research direction
Search the Chinese documentation for the section titled “2.3.2. K-means” and locate the sentence about parallelization and memory cost. Update the wording to use “以...为代价” as shown in the issue, then review the surrounding text to confirm the correction is rendered correctly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- scikit-learn
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 65/100