query: Which method to use for Initializing K means center?
positive_passages.docid: 156044
positive_passages.text: Methods of initializing K-means clustering
negative_passages.docid: 73699
negative_passages.text: How to understand the drawbacks of K-means
negative_passages.docid: 51254
negative_passages.text: How to project a new vector onto the PC space using kernel PCA?
negative_passages.docid: 95094
negative_passages.text: Bisecting K-means using Dynamic Time Warping
negative_passages.docid: 9883
negative_passages.text: Finding centroid of cluster of points using R
negative_passages.docid: 88083
negative_passages.text: How do I know my k-means clustering algorithm is suffering from the curse of dimensionality?
negative_passages.docid: 13941
negative_passages.text: Centering histogram bins and setting percentage range in Matlab
negative_passages.docid: 86494
negative_passages.text: Mapping of categorical features into binary indicator features
negative_passages.docid: 154899
negative_passages.text: Is it valid to perform PCA if Kaiser-Meyer-Olkin (KMO) index is very low?
negative_passages.docid: 21651
negative_passages.text: Estimating the most important features in a k-means cluster partition
negative_passages.docid: 71640
negative_passages.text: k-means implementation with custom distance matrix in input
negative_passages.docid: 69386
negative_passages.text: What's the relationship between initial eigenvalues and sums of squared loadings in factor analysis?
negative_passages.docid: 29579
negative_passages.text: Ways to measure distance from multivariate Gaussian (Mahalanobis distance)
negative_passages.docid: 144138
negative_passages.text: k-means vs k-median?
negative_passages.docid: 62206
negative_passages.text: Choosing the right linkage method for hierarchical clustering
negative_passages.docid: 83131
negative_passages.text: Centering \vdots in a system of many equations
negative_passages.docid: 59786
negative_passages.text: within cluster sum of squared distances