Man pages for arlclustering
Exploring Social Network Structures Through Friendship-Driven Community Detection with Association Rules Mining

arlc_calculate_modeCalculate the Mode of a Vector
arlc_clean_final_rulesClean Final Rules
arlc_clusters_plotPlot Graph with Custom Layout and Communities
arlc_convert_date_formatConvert a Date to a Different Format
arlc_count_naCount NA Values in a Data Frame
arlc_df_summaryCreate a Summary of a Data Frame
arlc_fct_clean_transactionsClean Transactions by Removing Overlapping Sets
arlc_fct_get_best_apriori_thresholdsGet Best Apriori Thresholds
arlc_file_exists_readableCheck if a File Exists and is Readable
arlc_generate_clustersGenerate Clusters
arlc_generate_date_sequenceGenerate a Sequence of Dates
arlc_generate_uidGenerate a Unique Identifier
arlc_gen_gross_rulesGet Gross Rules
arlc_gen_transactionsGet Transactional Dataset
arlc_get_apriori_thresholdsGet Apriori Thresholds
arlc_get_network_datasetGet Network Dataset
arlc_get_NonR_rulesGet Non-Redundant Rules
arlc_get_significant_rulesGet Significant Rules
arlc_is_numeric_vectorCheck if a Vector is Numeric
arlc_list_to_dfConvert List of Vectors to Data Frame
arlc_measure_timeMeasure Execution Time of a Function
arlc_normalize_vectorNormalize a Numeric Vector
arlc_replace_naReplace NA with a Specified Value
arlclustering documentation built on Sept. 11, 2024, 8:07 p.m.