49 lines
2.1 KiB
Python
49 lines
2.1 KiB
Python
import streamlit as st
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import matplotlib.pyplot as plt
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from clusters import DBSCANCluster, KMeansCluster, CLUSTERING_STRATEGIES
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st.header("Clustering")
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if "data" in st.session_state:
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data = st.session_state.data
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general_row = st.columns([1, 1])
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clustering = general_row[0].selectbox("Clustering method", CLUSTERING_STRATEGIES)
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data_name = general_row[1].multiselect("Data Name",data.select_dtypes(include="number").columns, max_selections=3)
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with st.form("cluster_form"):
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if isinstance(clustering, KMeansCluster):
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row1 = st.columns([1, 1, 1])
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clustering.n_clusters = row1[0].number_input("Number of clusters", min_value=1, max_value=data.shape[0], value=clustering.n_clusters)
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clustering.n_init = row1[1].number_input("n_init", min_value=1, value=clustering.n_init)
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clustering.max_iter = row1[2].number_input("max_iter", min_value=1, value=clustering.max_iter)
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elif isinstance(clustering, DBSCANCluster):
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clustering.eps = st.slider("eps", min_value=0.0001, max_value=1.0, step=0.1, value=clustering.eps)
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clustering.min_samples = st.number_input("min_samples", min_value=1, value=clustering.min_samples)
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st.form_submit_button("Launch")
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if len(data_name) >= 2 and len(data_name) <=3:
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x = data[data_name].to_numpy()
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result = clustering.run(x)
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st.table(result.statistics)
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fig = plt.figure()
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if len(data_name) == 2:
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ax = fig.add_subplot(projection='rectilinear')
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plt.scatter(x[:, 0], x[:, 1], c=result.labels, s=50, cmap="viridis")
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if result.centers is not None:
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plt.scatter(result.centers[:, 0], result.centers[:, 1], c="black", s=200, marker="X")
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else:
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ax = fig.add_subplot(projection='3d')
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ax.scatter(x[:, 0], x[:, 1],x[:, 2], c=result.labels, s=50, cmap="viridis")
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if result.centers is not None:
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ax.scatter(result.centers[:, 0], result.centers[:, 1], result.centers[:, 2], c="black", s=200, marker="X")
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st.pyplot(fig)
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else:
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st.error("file not loaded")
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