@incollection{, 31D9F3FE91D95D2ABBB6E1495DE1205A , author={{Vijaya GeetaDharmavaram} and {ShashiMogalla} and {GITAM Institute of Management, GITAM University}}, journal={{Global Journal of Computer Science and Technology}}, journal={{GJCST}}0975-41720975-435010.34257/gjcst, address={Cambridge, United States}, publisher={Global Journals Organisation}1416170 } @book{b0, , title={{Learning from High Dimensional fMRI Data using Random Projections}} , author={{ MAdvani }} , year={2011} } @incollection{b1, , title={{Adapting k-means for supervised clust-erin-g}} , author={{ SHAl-Harbi } and { VJSmith }} , journal={{Applied Intelligence}} 24 3 , year={2006} } @incollection{b2, , title={{A probabilistic framework for semi-supervised clustering}} , author={{ SBasu } and { MBilenko } and { RJMooney }} , booktitle={{Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining}} the tenth ACM SIGKDD international conference on Knowledge discovery and data mining , publisher={ACM} , year={2004. August} } @book{b3, , title={{20-6) Semisupervised learning}} , author={{ OChapelle } and { BSchölkopf } and { AZien }} , publisher={MIT press} , address={Cambridge, MA} } @book{b4, , title={{Semi Supervised Weighted K-Means Clustering for Multi Class Data Classification}} , author={{ VGDharmavaram } and { SMogalla }} , year={2013} IJCAIT } @incollection{b5, , title={{Research of semi-supervised spectral clustering based on constraints expansion}} , author={{ SDing } and { BQi } and { HJia } and { HZhu } and { LZhang }} , journal={{Neural Computing and Applications}} , year={2012} } @book{b6, , title={{Using clustering to learn distance functions for supervised similarity asses-sm-ent. Engineering Applications of Artificial Inte-lligen-ce}} , author={{ CFEick } and { ARouhana } and { ABagherjeiran } and { RVilalta }} , year={2006} 19 } @incollection{b7, , title={{Semi-Supervised Clustering with Partial Background Information}} , author={{ JGao } and { PNTan } and { HCheng }} , booktitle={{SDM}} , year={2006. April} } @book{b8, , title={{Unsupervised and semi-supervised clustering: a brief survey. A review of machine learning tech-niques for processing multimedia content}} , author={{ NGrira } and { MCrucianu } and { NBoujemaa }} , year={2004} , note={Report of the MUSCLE European Network of Excellence (FP6)} } @book{b9, , title={{Data mining: concepts and techniques}} , author={{ JHan } and { MKamber } and { JPei }} , year={2006} , publisher={Morgan kaufmann} , address={New Delhi} } @book{b10, , title={{Semi-supervised learning with penalized probabilistic clustering. I-n Advances in neural information processing sy-stems}} , author={{ ZLu } and { TKLeen }} , year={2004} } @incollection{b11, , title={{Intrinsic Dimensionality Based Conceptual Clustering}} , author={{ PPadmaja } and { MShashi } and { KN KTeja }} , journal={{International Journal of Advanced Computer Engineering}} 3 1 , year={2010} } @incollection{b12, , title={{Multiclass feature selection with kernel Gram-matrix based criteria. Neural Networks and Learning Systems}} , author={{ MRamona } and { GRichard } and { BDavid }} , journal={{IEEE Transactions on}} 23 10 , year={2012} } @book{b13, , title={{A survey on enhanced subspace clu-stering. Data mining and knowledge dis-covery}} , author={{ KSim } and { VGopalkrishnan } and { AZimek } and { GCong }} , year={2013} 26 } @incollection{b14, , title={{A fast clustering-based feature subset selection algorithm for high dimensional data. Knowledge and Data Engineering}} , author={{ QSong } and { JNi } and { GWang }} , journal={{IEEE Transactions on}} 25 1 , year={2013} } @book{b15, , title={{Introduction to Data Mining}} , author={{ TanPang-Ning } and { SteinbachMichael } and { KumarVipin }} , year={2006} , publisher={Pearson Education} , address={New Delhi} } @incollection{b16, , title={{Constrained k-means clustering with background knowledge}} , author={{ KWagstaff } and { CCardie } and { SRogers } and { SSchrödl }} , booktitle={{ICML}} , year={2001. June} 1 } @incollection{b17, , title={{Feature selection with kernel class separability. Pattern Analysis and Machine Intelligence}} , author={{ LWang }} , journal={{IEEE Transactions on}} 30 9 , year={2008} } @incollection{b18, , title={{New semisupervised classification method based on modified cluster assumption. Neural Networks and Learning Systems}} , author={{ YWang } and { SChen } and { ZHZhou }} , journal={{IEEE Transactions on}} 23 5 , year={2012} } @incollection{b19, , title={{Active learning of constraints for semi-supervised clustering. Kno-wledge and Data Engineering}} , author={{ SXiong } and { JAzimi } and { XFern }} , journal={{IEEE Transaction on}} 26 1 , year={2014} } @book{b20, , title={{Distance metric learning guided adaptive subspace semi-supervised clustering. Frontiers of computer science in china}} , author={{ XYin } and { EHu }} , year={2011} 5 } @incollection{b21, , title={{A Novel Supervised Clustering Based on the Feature Classification Weight}} , author={{ QZhao } and { HQu }} , booktitle={{Computational Intelligence and Natural Computing, 2009. CINC'09. International Conference on}} , publisher={IEEE} , year={2009. June} 1 } @book{b22, , title={{Semi-supervised learning literature survey}} , author={{ XZhu }} , year={2006} 2 3 Computer Science, University of Wisconsin Madison } @book{b23, , title={{Introduction to semi-supervised learning. Synthesis lectures on art-ificial intelligence and machine learning}} , author={{ XZhu } and { ABGoldberg }} , year={2009} 3 }