query: How to cluster the data?
positive_passages.docid: 26195
positive_passages.text: Is clustering (kmeans) appropriate for partitioning a one-dimensional array?
negative_passages.docid: 79467
negative_passages.text: Mapping k-means cluster centers and origins (measuring k-means accuracy)
negative_passages.docid: 58560
negative_passages.text: How to decide on the correct number of clusters?
negative_passages.docid: 53276
negative_passages.text: Group data and plot multiple lines
negative_passages.docid: 113323
negative_passages.text: Is it ok to use Manhattan distance with Ward's inter-cluster linkage in hierarchical clustering?
negative_passages.docid: 154512
negative_passages.text: Group nodes by terms
negative_passages.docid: 4376
negative_passages.text: Clustering geographical data based on point location and associated point values
negative_passages.docid: 36022
negative_passages.text: K-Means clustering for mixed numeric and categorical data
negative_passages.docid: 69565
negative_passages.text: Finding contiguous ranges in grouped data
negative_passages.docid: 121213
negative_passages.text: Clustering neighboring points inside ArcGIS Desktop?
negative_passages.docid: 49907
negative_passages.text: Clustering variables based on correlations between them
negative_passages.docid: 124490
negative_passages.text: Cluster analysis on weighted survey data with continuous and categorical variables
negative_passages.docid: 103860
negative_passages.text: Initializing K-means centers by the means of random subsamples of the dataset?
negative_passages.docid: 146999
negative_passages.text: When was the k-means clustering algorithm first used?
negative_passages.docid: 156044
negative_passages.text: Methods of initializing K-means clustering
negative_passages.docid: 117467
negative_passages.text: Using BIC to estimate the number of k in KMEANS
negative_passages.docid: 157161
negative_passages.text: Hierarchical clustering with mixed type data - what distance/similarity to use?