| Type of Material: | Thesis |
| Title: | Multi Objective Clustering and Optimization |
| Researcher: | SHEIK FARITHA BEGUM, S |
| Guide: | RAJESH, A |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2017 |
| Language: | English |
| Subject: | Computer Science | Computer Science Theory and Methods | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2017; D13CS514 |
| Fulltext: | Shodhganga |
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| 035 | __ | |a(IN-AhILN)th_454887 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aSHEIK FARITHA BEGUM, S|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein|0U-0446 |
| 245 | __ | |aMulti Objective Clustering and Optimization |
| 260 | __ | |aChennai|bBharath University, Chennai|c2017 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2017|oD13CS514 |
| 520 | __ | |aIn many real world situations there may be several objectives that must be optimized simultaneously in order to solve a certain problem. In this thesis , the problem of clustering a data set has been posed as one of multiobjective optimization (MOO). Most of the existing clustering techniques are based on a single criterion which reflects a single measure of goodness of a partitioning. However, a single cluster quality measure is seldom equally applicable for different kinds of data sets with different characteristics. Hence, it may become necessary to simultaneously optimize several cluster quality measures that can capture different data characteristics. Additionally, optimization of clustering method has also been done. Hence in this thesis, optimization of validity indices along with optimization of clustering method defines the term MultiObjective optimization. This thesis proposes, experiments, demonstrates and evaluates the concept of MultiObjective optimization of clustering in terms of validation. |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Theory and Methods |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aRAJESH, A|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/324564|yShodhganga |
| 905 | __ | |afromsg |
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