pythonã®ã©ã¤ãã©ãªã§ããªãã¿ãscikit-learnã§ä¸»æååæãããæ¹æ³ã æçµçã«ã¯ç´¯ç©å¯ä¸çãããããã§ããããã«ãããã ã¿ã¹ã¯ã¨ãã¦ã¯åºæ¬çãªææ¸ãæåèªèãé¡æã«ããã åºæ¬ import matplotlib.pyplot as plt import seaborn as sns sns.set_style("whitegrid") import sklearn.decomposition # PCAã§ä½¿ãã¯ããã ã import sklearn.datasets data = sklearn.datasets.load_digits(n_class=5) # sklearnã«ä»å±ã®ææ¸ãæåãã¼ã¿ pca = sklearn.decomposition.PCA(n_components=2) pca.fit(data.data) ããã§ç¨æãããã¼ã¿ã¯scikitl

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