Feature-Weighted-K-Means

• Feature weighted K-Means Scala Spark 2.11
• Author: Triet Nguyen

Requirements

• Scala 2.11.8
• Spark Core 2_11 - 2.4.5
• Spark SQL 2_11 - 2.4.5
• Spark MlLib 2_11 - 2.4.5
• JavaSDK 1.8

Algorithms

• Attribute weighting clustering algorithm
  CHAN, E. Y., CHING, W. K., NG, M. K., and HUANG, J. Z. (2004). “An optimization algorithm for clustering using weighted dissimilarity measures”
• Weighted K-Means
  HUANG, J. Z., NG, M. K., RONG, H., and LI, Z. (2005). “Automated variable weighting in k-means type clustering”
• Entropy Weighting K-Means
  JING, L., NG, M. K., and HUANG, J. Z. (2007). “An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data”
• Intelligent Minkowski Weighted K-Means
  DE AMORIM, R. C. and MIRKIN, B. (2012). “Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering”
• Feature Weight Self-Adjustment K-Means
  TSAI, C. Y. and CHIU, C. C. (2008). “Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm”

References

Please refer to these papers:

1. A survey on feature weighting based K-Means algorithms