質問編集履歴
4
コード囲み忘れ
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#### LinearRegression
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```python
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df4 = df.copy()
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from sklearn.linear_model import LinearRegression
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print(name, lr.coef_, lr.intercept_)
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sns.scatterplot(x='ta', y='m', hue='cluster', data=df4)
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```
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LinearRegressionを追加
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#### LinearRegression
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df4 = df.copy()
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from sklearn.linear_model import LinearRegression
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lr = LinearRegression()
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lr.fit(df4['ta'].values.reshape(-1, 1), df4['m'].values.reshape(-1, 1))
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pred_y = lr.predict(df4['ta'].values.reshape(-1, 1)).reshape(-1)
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df4['cluster'] = (df4['m'] < pred_y).astype(int)
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for name, dfg in df4.groupby('cluster'):
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lr.fit(dfg['ta'].values.reshape(-1, 1), dfg['m'].values.reshape(-1, 1))
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print(name, lr.coef_, lr.intercept_)
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sns.scatterplot(x='ta', y='m', hue='cluster', data=df4)
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### 補足情報（FW/ツールのバージョンなど）
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Python3.8
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2
df3を追加
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#### SpectralClustering
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```python
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df3 = df.copy()
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from sklearn import cluster
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spectral = cluster.SpectralClustering(n_clusters=2, eigen_solver='arpack', affinity='nearest_neighbors')
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1
サンプルデータ追加、GaussianMixtureとSpectralClusteringを追加
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### 該当のソースコード
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```python
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import pandas as pd
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url = "https://docs.google.com/spreadsheets/d/e/2PACX-1vSA9NhTNG6rcb1BAdVzC2RYgPPCCd0ryo1YconlDj7TK15IAO8rIi3uY9FzRCkXsj48BO4hWtceriKq/pub?gid=0&single=true&output=csv"
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df = pd.read_csv(url)
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sns.scatterplot(x='ta', y='m', data=df)
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```
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### 試したこと
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#### KMeans
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```python
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df1 = df.copy()
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from sklearn.cluster import KMeans
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kmeans = KMeans(n_clusters=2, random_state=0)
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clusters = kmeans.fit(df)
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clusters = kmeans.fit(df1)
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df1['cluster'] = clusters.labels_
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sns.scatterplot(x='ta', y='m', hue='cluster', data=
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sns.scatterplot(x='ta', y='m', hue='cluster', data=df1)
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```
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#### GaussianMixture
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```python
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df2 = df.copy()
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from sklearn.mixture import GaussianMixture
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model = GaussianMixture(n_components=2)
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model.fit(df2)
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df2['cluster'] = model.predict(df2)
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sns.scatterplot(x='ta', y='m', hue='cluster', data=df2)
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```
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#### SpectralClustering
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```python
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spectral = cluster.SpectralClustering(n_clusters=2, eigen_solver='arpack', affinity='nearest_neighbors')
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clusters = spectral.fit(df3)
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df3['cluster'] = clusters.labels_
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sns.scatterplot(x='ta', y='m', hue='cluster', data=df3)
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```
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### 補足情報（FW/ツールのバージョンなど）
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Python3.8
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