k-means clustering (K-평균 알고리즘) is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. (https://en.wikipedia.org/wiki/K-means_clustering)
관련정보
- Web animation (Chrome에서만 동작)
- Performance Python - 7 Strategies for Optimizing Your Numerical Code : k-means clustering을 pure python 부터 해서, NumPy, k-d tree, pandas, Cython, Numba, Dask, scikit-learn으로 설명
Incoming Links #
Related Articles (Article 0) #
Suggested Pages #
- 0.439 Machine learning
- 0.264 Euclidean distance
- 0.148 Minkowski distance
- 0.059 Classification
- 0.023 Kubeflow
- 0.012 scikit-learn
- 0.009 2014 농림축산식품 3차 생물정보교육
- 0.008 WDL
- 0.007 Text-to-image model
- 0.005 Hidden Markov model
- More suggestions...