<jupyter_start><jupyter_text>Locally Linear Embedding (LLE)There was nothing to do for this section but some ideas.<jupyter_code># Minimizes squared differences in distances between k nearest neighbors.
from sklearn.manifold import LocallyLinearEmbedding
lle = LocallyLinearEmbedding(n_components=2, n_neighbors=10)<jupyter_output><empty_output><jupyter_text>Other dimensionality reduction techniques:* Multidimensional Scaling (MDS)* Isomap* t-Distributed Stochastic Neighbor Embedding (t-SNE)* Linear Discriminant Analysis (LDA)<jupyter_code>#<jupyter_output><empty_output>
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