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Authors: Pinar Demetci, Rebecca Santorella
12 February 2020
Utils for SCOT
Ú N)┌dijkstra)┌
csr_matrix)┌kneighbors_graph)┌StandardScaler┌ normalize)┌NearestNeighbors┌KNeighborsClassifier┌l2Tc C s0 |dv sJ dâé|dkrd}nd}t | ||dŹS )z┬
Default norm used is l2-norm. Other options: "l1", and "max"
If bySample==True, then we independently normalize each sample. If bySample==False, then we independently normalize each feature
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r ┌ eucledianc C s t jjj| | |dŹ}||áí S )N)┌metric)┌sp┌spatial┌distance┌cdistr )r r ZCdatar r r ┌get_spatial_distance_matrix! s r ┌connectivity┌correlationc C sv |dv sJ dâé|dkrd}nd}t | ||||dŹ}tt|âdddŹ}tá||tjk í}||||k<