approx_k | Approximate Number of Clusters for a Text Matrix |
assign_cluster | Assign Clusters to Documents/Text Elements |
assignments | Topic Assignments |
as_topic | Convert 'get_terms' to Topics |
categorize | Merge Clusters & Cluster Categories Back to Original Data |
clustext | Consistent Clustering for Text Data |
compare | Adjusted Rand Index Comaprison Between Algorithms |
cosine_distance | Optimized Computation of Cosine Distance |
data_store | Data Structure for 'hclusttext' |
get_documents | Get Documents Based on Cluster Assignment in 'assign_cluster' |
get_dtm | Get a 'DocumentTermMatrix' Stored in a 'hierarchical_cluster'... |
get_removed | Get a Text Stored in a 'hierarchical_cluster' Object |
get_terms | Get Terms Based on Cluster Assignment in 'assign_cluster' |
get_text | Get a Text Stored in Various Objects |
hierarchical_cluster | Fit a Hierarchical Cluster |
jaccard_distance | Optimized Computation of Jaccard Distance |
kmeans_cluster | Fit a Kmeans Cluster |
nmf_cluster | Fit a Non-Negative Matrix Factorization Cluster |
plot.hierarchical_cluster | Plots a hierarchical_cluster Object |
presidential_debates_2012 | 2012 U.S. Presidential Debates |
print.assign_cluster | Prints an assign_cluster Object |
print.as_topic | Prints an as_topic Object |
print.compare | Prints a compare Object. |
print.data_store | Prints a data_store Object |
print.get_documents | Prints a get_documents Object |
print.get_terms | Prints a get_terms Object |
skmeans_cluster | Fit a skmean Cluster |
summary.assign_cluster | Summary of an assign_cluster Object |
write_cluster_text | Write/Read Cluster Text for Human Categorization |
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