Clustering: Optimal k

[bdiptesh]

Is your feature request related to a problem? Please describe.
A clustering module to cluster any given data (categorical/continuos/ordinal) and returns optimal clustering solution

Describe the solution you'd like
Compute optimal clustering solution using gap-statistic.

Methods:

1. First SE
2. Maximum Gap

Expected input

df: pandas.DataFrame
x_var: List[str]
max_cluster: int
method: Union[str]

Expected API

opt_k

Acceptance criteria

Integration tests:

• Categorical variables only
• Continuos variables only
• Ordinal variables only
• Combination of categorical/ordinal/continuos

Tasks

• Define integration tests
• First pass implementation of Gap statistic
• Modular implementation