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danielwe / gridcell

Analyze experimental data from grid cells
Apache License 2.0
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Basic grid cell analysis functionality #3

Closed danielwe closed 9 years ago

danielwe commented 9 years ago

Currently the package is made with the assumption that it will be used on cells that have already been identified as grid cells. A natural next step would be to implement a grid score method in the Cell class, and implement a test identifying grid cells based on some grid score criteria, shuffling etc.

Another thing to consider implementing is kernel smoothed density estimation in the CellCollection class, to inform the clustering of cells into modules (e.g. to determine the n_clusters parameter for K-means clustering).

danielwe commented 9 years ago

Grid score, sparsity score and stability score now implemented (30536e1). Shuffling, KSD in feature space etc. can easily be done directly on the raw data and on the pandas Series and DataFrames returned from the 'features' members -- no need to implement this on the classes also, this is not Java!